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Gupta, Chirag
- Rapid Assessment of Boro Paddy Infestation by Brown Planthopper in Morigaon District, Assam, India Using Unmanned Aerial Vehicle
Abstract Views :244 |
PDF Views:91
Authors
Affiliations
1 North Eastern Space Applications Centre, Department of Space, Government of India, Umiam 793 103, IN
1 North Eastern Space Applications Centre, Department of Space, Government of India, Umiam 793 103, IN
Source
Current Science, Vol 111, No 10 (2016), Pagination: 1604-1606Abstract
In April 2016, farmers from Morigaon and Nagaon districts of Assam, India encountered severe pest infestation in their boro paddy (summer paddy) areas, which was unusual. Morigaon district with an area of 1550 sq. km having a population of about 9.6 lakhs (as of 2011), was the worst affected with four out of the five revenue circles, viz. Mayong, Bhuragaon, Laharighat, Morigaon and Mikirbheta being affected. Investigations by the District Agricultural Department and Regional Agricultural Research Station, Nagaon confirmed it to be infestation by brown planthopper (BPH), Nilaparvata lugens (Stal). Planthoppers are a problem in rainfed and irrigated wetland environments.Full Text
References
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- Towards Generation of Effective 3D Surface Models from UAV Imagery Using Open Source Tools
Abstract Views :282 |
PDF Views:90
Authors
P. S. Singh
1,
Mayuri Sharma
2,
Victor Saikhom
1,
Dibyajyoti Chutia
1,
Chirag Gupta
1,
Avinash Chouhan
1,
P. L. N. Raju
1
Affiliations
1 North Eastern Space Applications Centre, Department of Space, Government of India, Umiam 793 103, IN
2 Department of Computer Science, Assam Don Bosco University, Guwahati 781 017, IN
1 North Eastern Space Applications Centre, Department of Space, Government of India, Umiam 793 103, IN
2 Department of Computer Science, Assam Don Bosco University, Guwahati 781 017, IN
Source
Current Science, Vol 114, No 02 (2018), Pagination: 314-321Abstract
There has been increasing popularity in large scale mapping for deriving 3D surface and elevation models of earth and building structures. The techniques of computer vision comprising feature detections and matching and photogrammetry play an important role in deriving near accurate 3D reconstruction of scenes from 2D images. Since the images captured by the unmanned aerial vehicle (UAVs) are of high resolution, there is need for more sophisticated processing and analysis of the imagery to generate 3D models and other useful imagery products. The open source softwares are excellent tools for research and can be modified or changed to suit our model, as specific or combinations of algorithms behave differently based on the nature of UAV image scene to be processed. Though many algorithms are available for performing feature extractions from images, few studies have been carried out to identify suitable detector algorithms to be used based on the nature of image or scene that the UAV captures. An attempt has been made to understand and analyse the suitability of feature detection and descriptor algorithms for different scene types. This article also describes the popular technique called structure from motion process pipeline for sequential processing of UAV images with high overlapping, which involves the estimation of 3D point clouds from the keypoint correspondences. The relative accuracy of the 3D point cloud derived from our approach is comparable with similar output from other state-of-the-art UAV processing systems and is found to match with high precision.Keywords
3D Reconstruction, Open Source, Point Clouds, Remote Sensing, Structure from Motion, Unmanned Aerial Vehicle.Full Text
References
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- Forest Biometric Parameter Extraction using Unmanned Aerial Vehicle to Aid in Forest Inventory Data Collection
Abstract Views :271 |
PDF Views:83
Authors
Kasturi Chakraborty
1,
Victor Saikom
1,
Suranjana B. Borah
1,
Mamita Kalita
1,
Chirag Gupta
1,
Laishram Ricky Meitei
2,
K. K. Sarma
1,
P. L. N. Raju
1
Affiliations
1 North Eastern Space Applications Centre, Umiam 793 103, IN
2 Botanical Survey of India, ERC, Shillong 793 003, IN
1 North Eastern Space Applications Centre, Umiam 793 103, IN
2 Botanical Survey of India, ERC, Shillong 793 003, IN
Source
Current Science, Vol 117, No 7 (2019), Pagination: 1194-1199Abstract
Frequent ground surveys and satellite-based information on tree height, canopy gaps and forest dynamics are limited by time, cost and spatial scales. In this study, an attempt has been made to derive forest biometric parameter on tree height by canopy height model and crown area projections using unmanned aerial vehicles (UAV)–RGB image. Sorensen’s coefficient has been used as an index to compare between ground inventory and UAV-based species identification. The statistical paired t-test showed UAV RGB can be used for maximum tree height and tree crown extraction to aid in ground surveys.Keywords
Canopy Height Model, Canopy Area Projection, Forest Biometry, Unmanned Aerial Vehicles.Full Text
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