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  • Drone aerial survey in DRC

    3DroneMapping recently completed a fairly simple aerial survey in the Democratic Republic of the Congo. The 60ha site is adjacent the Congo River and has amazing views of of Kinshasa, the capital city as well as Brazzaville in neighboring Republic of the Congo. The survey required orthophoto and contour production. After geodetic observations were done to ensure accurate absolute geolocation, a fixed wing RPAs was deployed to capture high resolution images of the site. Since PPK (Post-Processing-Kinematic) was utilized in flight, only a few quality assurance points were placed and verified against. In terms of processing, the flight tracklog and camera events was reduced to the calculated control system ad then photogrammetrically rendered. The end orthophoto and DSM was checked against the pre-placed quality assurance points. These showed an acceptable deviation of 0.04m horizontally and 0.06m vertically. Raw point clouds were extracted from the data and subjected to automatic and manual classification routines. These routines extract all non-ground features such as vegetation, powerlines, dwellings, etc and highlight X,Y,Z points that represent the topography or earth surface.From these ground points, a DTM was triangulated and contoured. This very simple survey was hampered by the extremely expensive costs of site mobilization, bureaucracy, bribes and poor security. At the last moment, the project almost did not go ahead due to political instability in the region. Despite no applicable laws or restrictions regarding RPAS in the DRC law, the lack of tends to have negative effects on flight operations since the military and other stakeholders now have reason to persecute and condemn, as acts of treason, espionage or terrorism. #DRC #Congo #Africa #RPAS #Aerialsurvey #contours #orthophoto #Regulations #dronemapping

  • 3DroneMapping completes PPK trials

    3DroneMapping has been testing a PPK system for the past year. The point of PPK (or Post Processing Kinematic) is not just to improve internal photogrammetric model orientations, but also is general recognised as a way of undertaking full-scale surveys at the same accuracy but without having to place time-consuming ground control points. 3DroneMapping setup a calibration site to test the claims made by manufacturers and ultimately for our own quality assurance that what we publish is indeed right the first and only time. Ground control points traditionally have become a sore topic with RPAS aerial surveyors as they take time to construct, survey and verify. These points are needed in a much greater density than tradition aerial survey methods, due to the non metric cameras often used in RPAS. Locations where the terrain changes rapidly, homogenous surfaces, and densely vegetated areas all require a higher density of control points to assist the photogrammetric software to locate accurate ties points and stop the model from deviating. Undertaking a photogrammetric survey without control, can lead to disastrous results. There are a number of issues with placing and surveying control points. The obvious one being that another piece of survey equipment is needed to accurately record the positions. This comes at a great cost as survey grade GPS systems can run into tens of thousands of dollars. Then the areas for the control need to be identified. These areas are often located at the fringes of the site to be surveyed as well as in the center. This means that the site needs to be traversed (often on foot) to place marks and survey them. In some cases it can take a few days to complete the marking for fairly small sites due to the terrain, vegetation. Control points are also not permanent. They often go missing due to weather, theft for vandalism and cause problem for the surveyor back in the office when the surveyed points are not visible on the imagery. Another problem with using control only for surveys using low-level photogrammetry is that the consumer grade cameras used are not metric and are prone to distortion. While control can eliminate this to an extent, it is the areas between the control points that often are forced to fit alignment. This can lead to errors especially regarding heights. PPK is setup to have an accurate onboard GPS system that records a high frequency measurement tracklog of an RPAS flight. The system notes every time the camera takes an image and logs it. Another GPS is setup on the ground to record satellite information during the flight. Using some Post Processing software, the relative satellite positions between the devices can be compared and reduced. The results are very accurate coordinates for each image captured. The photogrammetric model generated from using PPK enhanced images gives a much more consistent and accurate rendering of the terrain. Tie points have a much greater certainty of intersection, speeding up the matching processes. This reduction in uncertainty means fewer resources are required, leaving an opportunity to increase the density of other processes like point cloud generation, geometrically verified matching, etc. Trials for PPK testing began 3 weeks ago with a test calibration site. Over 200 tradition ground control points were surveyed over a 780ha site, some of which were placed in very challenging positions that like close to tall structures, under power lines, close to dense vegetation and visibly homogeneous surfaces. The site was flown over a 3 week period with a number of flights to determine the optimum settings and processing requirements. At the end, the most consistent and repeatable results were chosen for the optimised settings for our company and RPAS setup. #PPK #AccurateGPS #Nocontrol #Aerialsurvey #dronesurvey

  • Drone mapping a private tropical island

    3DroneMapping had the privilege of mapping a tiny private island in the Indian ocean off the Zanzibar coast in the Indian Ocean. This tiny (15ha) island is approximately 5NM from the mainland is is completely isolated from the rest of the world. Surrounded by live coral reefs and sand bars, the island is home to an exclusive, high-end resort. The resort prides itself in being completely self-reliant and offers guests individual service that would rival some of the best hotels. The island limits it number of guests to 20 to maintain the feeling of being remote and disconnected from the world. Guests have private “bandas” or thatched bungalows that allow the gentle wind through the casuarina trees, while waves lap at the shore. Each meal is 3 courses, each planned carefully to suit guests needs and local availability. There is a butler per banda that does everything for guests from serving meals to putting out slippers . This is luxury and attention to detail that goes above and beyond any other resort. The island resort prides itself in offering its guests privacy and high quality service. To maintain this feeling, the accommodation is spread out over the island in such a way so as to not intrude on adjoining structures or guests. Behind the scenes, and army of 65 staff on average also reside on the island. Besides accommodation, kitchens, storehouses, generators, saltwater desalination plants, boat sheds, and various other structures need to be hidden from guests. The main problem of shielding guests from the day to day operations is space. The island has limited space as it stands and is now in threat of it shrinking further. As currents have changed, part of the island is eroding at a very fast pace, So much so that the developers are concerned that some of the newly proposed structures will be washed out to sea in a few years. Since no plans or maps of the island have ever been drawn or surveyed, they felt it was important to give some scale and dimensions to the architects for the master plan. The plan of the island was to include all existing structures, pathways, major trees, visible services, high tide marks, levels and contours. This needed to be done in a very tight timespan as the island closed for renovations in 3 months. Another major concern was that the survey could not disturb any guests while being carried out. Using a multirotor drone with high resolution camera allowed us to operate high enough to still obtain images with good detail but far away enough from guests to not bother them. Total time for the flights was 30min, also reducing the time spent flying over paying residents. Control points were placed over the island at strategic places to not be visible to the public but in a fashion that met basic survey principles. These cost effective units have proved themselves over and over to be some of the cheapest and accurate single frequency receivers about and are perfectly suited to this type of survey. #dronemapping #aerialsurvey #privateisland #Zanzibar #Tanzania

  • Drone Mapping in Gorongosa National Park, Mozambique

    Gorongosa National Park is a 4000 square kilometer nature reserve in central Mozambique. In the 1950s it boasted some of the greatest animal densities in Africa, with over 500 bird species, abundant carnivore populations, as well as reptiles. The park originally began as a hunting reserve in the 1920's and became a popular destination very quickly. A camp was built in 1940 for administration and tourists but had to be abandoned in 1942 due to flooding. This remaining structure from that era has now become a famous landmark in the park, known as "Lion House", due to a pride that has taken up residence among the ruins. Disaster struck the park between 1981 and 1994 with the famous civil war in Mozambique. In December 1981 the Mozambican National Resistance (MNR, or RENAMO) fighters attacked the Chitengo campsite and kidnapped several staff, including two foreign scientists. The violence increased in and around Gorongosa. In 1983 the park was shut down and abandoned. For the next nine years Gorongosa was the scene of frequent battles between opposing forces. Fierce hand-to-hand fighting and aerial bombing destroyed buildings and roads. The park's large mammals suffered huge losses. Both sides in the conflict slaughtered hundreds of elephants for their ivory, selling it to buy arms and supplies. Hungry soldiers shot many more thousands of zebras, wildebeest, buffalos, and other ungulates. Lions and other large predators were gunned down for sport or died of starvation when their prey disappeared. A cease-fire agreement ended the civil war in 1992 but widespread hunting in the park continued for at least two more years. By that time many large mammal populations—including elephants, hippos, buffalos, zebras, and lions had been reduced by 95 percent. Surveys counted just 15 buffalo, 5 zebra, 6 lions, 100 hippos, 300 elephants and just a handful of wildebeest. In 2000, Mozambique experienced the worst floods in 50 years. over 700 people were reported killed and thousands of square kilometers of land was affected. The flooding resulted from 5 weeks of intense rainfall, causing rivers to burst their banks and overflow. Despite all the challenges the park has endured, there is now a renewed push to restore the park to its former glory. With funding from foreign investors as well as the Mozambican government, the Gorongosa is quickly becoming a popular tourist destination again. So much so that the old camp of Chitengo has outgrown itself, and new luxury, remote camps are now in demand. Many companies are eager to be a part of this big business but are wary of the environmental risks previously experienced. One of those intrepid business is The Gorongosa Collection, which aims to establish luxury tented camps in strategic points within the park. However, the developers insisted that the area be higher than the flood levels recorded in the 2000 floods. Since the ruins of "Lion House" still exist, the high water mark is still very much visible on the structure walls on this very flat plain. This mark to be transferred to the proposed new camp site, 3.5km away to ensure that the structures remain high and dry. 3DroneMapping was called in to map those proposed areas and compare the levels from the floods in 2000 with the planned new locations. Since this section of Gorongosa is so flat, it is next to impossible to accurately measure levels without the aid of instruments. Using post processed GPS data with accurate satellite ephemeris data, the high water mark was determined and then compared to various other sites in the vicinity as well as being used for accurate control points for photogrammetry. Our inhouse fixed wing mapping RPAS was deployed at suitable elevations to mapped the various areas after control points where placed and measured with the accurate GPS system. From the images, orthophotos and point clouds where produced. The points clouds contain nearly 1 billion points of the terrain surface that contain colour, horizontal and vertical measurements. These points where then both manually and automatically classified into various levels of vegetation, structures and bare ground. From the bare ground points, an accurate 3d model of the terrain can be made from which contours linking areas of equal elevation can be produced. Without classification of pointcloud data, the terrain data would be incorrectly include the vegetation, giving false representations of the topography. Chitengo airstrip was also surveyed by 3DroneMapping. This was done to ensure that the airstrip is indeed above the high water as well as a overview of the slope of the strip as it undergoes a surface upgrade. From our 0.25m vertical intervals, engineers could ascertain the slope and where the cut and fill is required to ensure good water drainage as well as an even camber. Using RPAS for this project not only ensured that the client receives the data in the most cost effective fashion, but also allowed for flexibility in the field to allow for last minute changes to flight paths to accommodate the scope requirements. Other deliverables such as 3d renders for visualizations and marketing purposes were also generated. #Mozambique #Dronesurvey #Floodlevels #GorongosaNationalPark

  • Drone mapping 375km railway in Ethiopia

    3DroneMapping in partnership with a leading mapping, geospatial and photogrammetry survey company in Turkey, has together begun a 10 month drone mapping project in Eastern Ethiopia. This project monitors and extracts vital information for the construction of a $1.8 billion railway that connects Awash in the South to Woldia/Hara Gebeya in the North. The project should be completed in 2019. In addition to the length of the main line which is approximately 389 kms, station lines are 18 kms and the maintenance lines are 4 kms. The length of the total line is approximately 447 kms, besides the main railway line and depots. Under the partnership, 3DroneMapping will be providing air services to the Turkish survey company. They in turn will interpret the data generated to issue volumetric, progress and planning reports for the engineering firm. The flight planning and operational work is handled by 3DroneMapping as well as the image geolocation and data verification. Flight planning for this part of Africa is very complicated with much of the railway route in the North winding its way through mountains, valleys and plateaus. The elevation range of the route is from 700m - 3000m ASL, making takeoff, cruising and climbing a challenge for any RPAS. Communications to are very limited with the large mountains and ridges blocking signals from the aircraft to the ground control station. The extreme differences in the terrain slopes also required the aircraft to "follow" the terrain at a predetermined offset so as to obtain the correct image overlaps and required resolution. Flight planning in the South was much easier with long straight and flat flight lines. Very strong winds aloft are hard to predict at this elevation and constant changes to the aircraft flight characteristics needed to be made while in flight. Extreme temperatures were experienced with daily averages exceeding 37°c and fine penetrating dust made ground conditions very challenging. As the project continues, it will be interesting to see the data amassed and how it becomes the set standard for large scale construction projects to accurately determine their progress and quantities. #roadmapping #railmapping #Ethiopia #longrange

  • Aerial Mapping in Mauritius by drone

    Mauritius is an island in the Indian Ocean, 1000km East of Madagascar. This tropical paradise has been inhabited and colonised by various nations since the middle ages, each leaving behind evidence and their customs for the next generation. What remains is a beautiful combination of East meets West and adds in an African flavour. The climate of Mauritius is very temperate with cool winds blowing in from the sea and a healthy amount of rainfall. The regulations for flying drones or RPA in Mauritius have yet to be published but recommendations are: Do not fly your drone over people or crowds of people Respect other people's privacy when flying your drone Do not fly your drone near military installations, power plants, or any other area that could cause concern among local authorities Do not fly your drone near airports or in areas where aircraft are operating You must fly during daylight hours and only fly in good weather conditions Commercial operations follow the same guidelines as above for recreational use. The site required for survey is located in the center of the island, approximately 450m AMSL measuring 1400ha. The client required very high resolution orthophotos of the site as well as contours of the natural ground level. All this information would be used in the master plan for the development of the site for a new commercial and government facilities hub. Most of the area to be developed is covered in sugar cane plantations as well as some house projects under construction. The site required for survey is located in the center of the island, approximately 450m AMSL measuring 1400ha. The client required very high resolution orthophotos of the site as well as contours of the natural ground level. All this information would be used in the master plan for the development of the site for a new commercial and government facilities hub. Most of the area to be developed is covered in sugar cane plantations as well as some house projects under construction. Since the requirement was for high resolution imagery with a pixel size of less than 4cm, it was necessary to fly a lot lower than is standard practice for such and area. This meant that more flying time would be needed to cover such a large area. It was decided to inform the Mauritian Civil Aviation Department of our intentions. The persons contacted were fine with our operations provided we briefed them of our dates, times, positions and elevations. We also used an airband radio on site, making periodic calls to other air traffic, as per ICAO requirements in uncontrolled airspace. No other aircraft were encountered during our operations. The site was broken up into 5 areas and flight planned to run perpendicular to the wind direction. Each flight was expected to last 1.5 hours, travelling over 50km per session. However the persistent trade winds that blow over Mauritius were severely underestimated by ourselves. This relentless wind from the South East never dropped below 7 knots for 7 days. At times it would gust to 25 knots as reported by Plesance Airfield. The effect of this airflow caused the aircraft to yaw or "weathervane" into the wind reducing efficiency and increasing flight time. All 5 flights were successful with perfect communications, flight characteristics, image quality and landing approaches with a total time of 8 hours spent in from chock to chock. A total of 5600 20mb images were captured. Control points were kindly provided by the client. These were issued in Local Grid Mauritius 2012 and consisted of concreted "T" designs in the fields as well as on the road edges. A total of 50 were evenly distributed over the site. Process of this enormous amount of data was handled by our supercomputer in more manageable sections rather as a whole. These sections were later aligned with each other to form a complete model of the site. The end pointcloud consisted of half a billion points. The client received their end deliverables 14 days after being commissioned to undertake the work. #dronemapping #aerialsurvey #Mauritius #Longrange #DTM

  • Drone Mapping near Lake Albert, Uganda

    3DroneMapping was recently invited to map a newly constructed waste disposal site in Western Uganda, near the shores of Lake Albert. This area is soon to be developed into a major oil drilling location with many proposals out for mining operations. having suitable waste disposal sites is very important environmentally to safely treat all contaminated materials from the mining process. The site extends 100ha and ground control was placed in relation to existing survey systems. Our fixed wing drone was deployed at a suitable height to ensure 70% overlap coverage for the entire site. Orthophotos and contours where then extracted from the resulting 3d model and delivered to the client. It is expected with the new oil boom happening in the area that drones will become more common place in the area for mapping. The portability, quick turnover and affordability of this technology is perfectly suited to this industry. #dronesurvey #Dronesurvey #UAVmapping #LakeAlbert #Uganda

  • Drone Mapping In Zanzibar

    3DroneMapping was approached to assist in a topographic and bathymetric survey of 2000ha in Northern Zanzibar . This semi-autonomous island lies off the coast of Tanzania in East Africa. The land has been provisioned for development of various resorts, marina, airfield and golf course and is the biggest Zanzibar has seen with many investors and shareholders throughout the world. Site identification and Control The cadastral extents of the site had previously been surveyed by government operators and markers were placed on the ground. This made the process of adopting a survey coordinate system easier as the markers needed only be confirmed. However, little had been surveyed in terms of a datum. Given the low lying nature of the island, it was imperative that formal geodetic measurements be taken. A Leica L1/L2 GPS recorded raw data for 10 hours and was processed against Continuous Operating Reference stations in Ethiopia and South Africa. An excellent result was achieved of 15mm in standard deviation for our ellipsoidal levels. The modern gravimetric geoid model of Tanzania by J.G. Olliver (2007 was then applied to obtain accurate orthometric levels. Various control points designed for photogrammetric uses where then placed over the site using the Leica GPS in RTK mode, all under 10mm in standard deviation. Drone Mapping Once the control was placed, our fixed wing mapping drone, “Inyoni” was deployed on a prescribed flight path to obtain vertical images of the site. The flight planning required 75% sidelap and overlap at an elevation of 600ft. Despite the terrain only varying by 15m in height, a high degree of overlap was necessary to achieve ground points between the closely spaced vegetation. Conditions on the day chosen for flying were not favourable with winds in excess of 5m/s, low cloud cover and intermittent rain. As the day progressed, the weather conditions improved, allowing for sections to be re-flown with better results. A total of 4 flights were done in 4.1 hours flying, travelling 210km. A total of 1500 images were collected, each 28mp. Bathymetric Survey The developers ask for 900ha of marine area to be mapped for a proposed marina and exclusive lodging area. To achieve this, a standard logging sonar receiver was mounted to a tradition wooden dhow boat. The tracklog of the vessel was recorded using a L1 only GPS unit powered by and Edison computer. This tiny GPS device was coordinated on land to the same survey system that was used for the photo control, ensuring continuity between the terrestrial and marine surveys. The roving unit was mounted to the dhow above the sonar receiver and the offsets recorded. For robustness of the final tracklog accuracy, it was decided to post process the L1 data from the receiver and base and not use RTK methods. Data was collected for 9 hours at 10hz. Processing of data The images were run though Pix4d, photogrammetric software to obtain an orthomosaic and pointcloud. Our in house workstation processed the data in 32 hours at maximum data resolution, delivering 50mm orthomosaics and dense point clouds. The point clouds were classified in GlobalMapper and LASTools and further cleaned manually in ArcGIS to achieve bare earth measurements. All features were then captured in ArcGIS and drafted to an AutoCAD drawing for the developer and engineers to use. The L1 data from the GPS was post processed to derive and accurate tracklog. However, at some point in the survey, the antenna had slipped, shielding some of the raw measurements. The results still processed at 200mm confidence level, being sufficient for the purposes of this survey. The tidal range at this particular part of the coast varied approximately 2.8m, making an accurate tracklog essential for the long duration of the survey. The rough seas encountered past the reef also meant that the sonar device varied in heights. This was taken into consideration when mating the timestamps from the sonar data to the GPS post processed tracklog. Results and comments The efficiency of the combination of fixed wing drone and ground control is unrivalled for the accuracy and level of detail obtained. The total time spent on the project by a single person, from control placement to delivery for 2000ha, was just 7 days. Having the correct tools and knowledge makes this type of project very economical for the developer as well as lucrative for the surveyor. #UAVmapping #Longrange #DTM #Aerialsurvey #dronesurvey #Zanzibar #Tanzania

  • NDVI Drone Survey – Nampula, Mozambique

    The NDVI study was based in Nampula Province, Mozambique. The primary crop grown on this flat 3000ha farm is soya bean but maize and other crops have been tested historically. The land has only been farmed for 8 years and the major problem encountered has been the water retention of the soil in the area. Despite the soil appearing to be of good decomposed granite with small gravel with even water distribution, there are also clay particles which inhibit this. Water can be found pooling all over the flat 3000ha farm and despite all efforts to locate and plan draining or diversion of this standing water, it became apparent that this challenge could only be overcome by adopting very recent aerial imaging to isolate and prioritize these areas. The farm decided to utilize UAS to identify these areas requiring urgent attention and also to estimate the coming crop yields. 3DroneMapping was asked to assist in a trial capacity. If the results of the survey were of any benefit, further surveys could be budgeted for. Day 1 Located at an average of 660m AMSL, the area appears flat and covers 3000ha, however only 1400ha had been planted this year that required survey. These areas had been mapped with a handheld GPS device and these were handed over to survey. The client asked for NGB imagery and then to be converted to pseudo NDVI for purposes of identifying those zones of good plant growth. The bodies of water would also be located as a by-product of the imagery given the relationship between near infrared and water being easily identifiable. Day 1 was spent traversing the entire farm placing control points for use in ortho rectifying the final model. The decision was made to place control was based on the fact that it would be resurveyed to compare the same areas in the coming year to see if the changes made would have any effect. Permanent control points were placed near an existing runstrip used for aerial spraying. Temporary control was evenly dispersed over the site and surveyed using a Leica GPS 1200 RTK survey grade GPS to centimetre accuracy. Those locations where RTK was not possible were surveyed using post processing methods with similar accuracies as the RTK points. Weighted down fertilizer sacks were used as makers however overnight 15% of these were repurposed by locals. It was realised that some of the locals had replaced the sacks after confrontation with a farm manager which was problematic as these were not replaced in the same positions. These points were later identified in the helmert transformation part of the model generation as being outliers and were rejected. The remainder of the day was spent identifying the areas to be flown and flight planning as well as a test flight to check the UAS radios and camera setup. Day 2 The weather on day 2 was far from ideal. Low cloud from the evenings 50mm of rain began at about 400m AGL. It was decided to wait until 10am to begin the survey. At 10am the weather still had not improved and it was predicted for isolated showers in the afternoon. After consultation with the client, it was made clear that the survey would have to take place regardless of the conditions as the soya plants were on the verge of ripening and time was of the essence. With this in mind, the team reluctantly prepared to fly the first 400ha northern area. The initial setup of the 3DroneMapping “Inyoni” fixed wing UAS took 10min to prepare and check. A modified CanonS110 camera with filter to capture near-infrared, green and blue spectrumand a 10A battery being the only payload. The flight plan was set to climb to 200m AGL and then head north to 300m to begin the strip survey routine. The strip was set at 131m between lines with an image set to capture every 118m. This provided an overlap of 73% and a sidelap of 60%. The estimated flight time was 93 minutes. The take-off went well with 30-40 amp draw to climb to the first 200m AGL waypoint. The UAS landed without any intervention as planned after spending 99min airborne. It was noted that the end capacity of the battery would still allow for 35-40 min of safe flying. The southern area was divided into 2 section. The southern area being 370ha and the northern 590ha. Both areas were flown successfully with autonomous take-off and landing sequences. It was noted that the barometer shifts upon land varied about 6-10m but given the topography, we had the luxury of open space to allow the safe landing. However of the course of the day, the partial clouds caused shadows over the ground. As the average flight lasted 100minutes, these shadows were unavoidable. The resulting areas were then processed in Agisoft Photoscan to produce orthomosaics. Control previously survey was added and strengthed the model. It should be noted that raw IMU, GPS and barometer data added to the metadata to the images sped up the alignment process in Agisoft at least by 50%. The end results proved good with RMS values of less than 10mm. It was decided to combine the central and southern areas to produce a large NGB orthomosaic as there was sufficient overlap to merge the chunks. The resulting NGB images were then put through FIJI imagining software to calculate pseudo NDVI values and then projected to give UTM coordinates. Day 3 Overnight it was decided to to fly a new area with a RGB camera to provide continuity between the northern and southern locations. This 500ha area was flown in 95min and then processed to produce a RBG othoimage. All images were then placed in GIS software and handed to the client for analysis. Results A total of over 2100ha was surveyed in a total of 6.5hours of flying. The end pixel size derived was averaged to 15cm/ pixel. It should be noted that high resolution was not required by the client for plant health purposes. This enabled us to fly at 300m AGL giving such good coverage. The end raster images were inserted into a GIS package suitable for the clients and their shareholders to view and analyse. This has given an enormous advantage to farm managers to identify problem areas that normally are not visible from the ground especially on such flat terrain. Initial analysis has shown that the previously cleared ant mounds have affect the soils conditions to perfectly round 17m radius where the plants are not growing well. These average at about 6 per hectare. The original slash and burn lines promote good plant growth possibly due to being elevated or the added carbon. The flat areas that collect water have severely repressed plant growth and encourage the growth of more water resistant grass species. While the cloudy conditions have not been the best for NGB data collection, some information relating to plant health was derived. On a large scale area such as this, NGB information does have its place. It is impossible for farm managers to accurately identify those zones that are not producing well and this tool enables them to prioritize and positively identify those locations and their impact on the plant growth. #GIS #NDVI #PrecisionAg #Mozambique #agriculture

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