VEGETATION CONDITION INDEX: A POTENTIAL YIELD ESTIMATOR

Dubey, S. K.; Gavli, A.; Neetu,; Ray, S. S.

doi:https://doi.org/10.5194/isprs-archives-XLII-3-W6-211-2019

RICE (KHARIF) PRODUCTION ESTIMATION USING SAR DATA OF DIFFERENT SATELLITES AND YIELD MODELS: A COMPARATIVE ANALYSIS OF THE ESTIMATES GENERATED UNDER FASAL PROJECT

V. Jain, S. Saxena, S. Dubey, K. Choudhary, S. Sehgal, Neetu, and S. S. Ray

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W6, 99–107, https://doi.org/10.5194/isprs-archives-XLII-3-W6-99-2019,https://doi.org/10.5194/isprs-archives-XLII-3-W6-99-2019, 2019

EVALUATION OF PRE-HARVEST PRODUCTION FORECASTING OF MUSTARD CROP IN MAJOR PRODUCING STATES OF INDIA, UNDER FASAL PROJECT

A. Latwal, S. Saxena, S. K. Dubey, K. Choudhary, S. Sehgal, Neetu, and S. S. Ray

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W6, 115–122, https://doi.org/10.5194/isprs-archives-XLII-3-W6-115-2019,https://doi.org/10.5194/isprs-archives-XLII-3-W6-115-2019, 2019

JUTE CROP PRODUCTION ESTIMATION IN MAJOR STATES OF INDIA: A COMPARATIVE STUDY OF LAST 6 YEARS’ FASAL AND DES ESTIMATES

S. Rajpoot, S. Saxena, S. Sehgal, S. K. Dubey, K. Choudhary, A. S. Gavli, A. Verma, Neetu, and S. S. Ray

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W6, 129–136, https://doi.org/10.5194/isprs-archives-XLII-3-W6-129-2019,https://doi.org/10.5194/isprs-archives-XLII-3-W6-129-2019, 2019

ANALYSIS OF SUGARCANE ACREAGE AND YIELD ESTIMATES DERIVED FROM REMOTE SENSING DATA AND OTHER HYBRID APPROACHES UNDER FASAL PROJECT

N. Sharma, S. Saxena, S. Dubey, K. Choudhary, S. Sehgal, Neetu, and S. S. Ray

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W6, 157–163, https://doi.org/10.5194/isprs-archives-XLII-3-W6-157-2019,https://doi.org/10.5194/isprs-archives-XLII-3-W6-157-2019, 2019

MACHINE LEARNING APPROACH FOR KHARIF RICE YIELD PREDICTION INTEGRATING MULTI-TEMPORAL VEGETATION INDICES AND WEATHER AND NON-WEATHER VARIABLES

A. Chandra, P. Mitra, S. K. Dubey, and S. S. Ray

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W6, 187–194, https://doi.org/10.5194/isprs-archives-XLII-3-W6-187-2019,https://doi.org/10.5194/isprs-archives-XLII-3-W6-187-2019, 2019

ASSESSMENT OF RICE BIOMASS PRODUCTION AND YIELD USING SEMI-PHYSICAL APPROACH AND REMOTELY SENSED DATA

M. Dwivedi, S. Saxena, Neetu, and S. S. Ray

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W6, 217–222, https://doi.org/10.5194/isprs-archives-XLII-3-W6-217-2019,https://doi.org/10.5194/isprs-archives-XLII-3-W6-217-2019, 2019

ANALYSIS OF WHEAT CROP FORECASTS, IN INDIA, GENERATED USING REMOTE SENSING DATA, UNDER FASAL PROJECT

S. Kumar, S. Saxena, S. K. Dubey, K. Chaudhary, S. Sehgal, Neetu, and S. S. Ray

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W6, 223–228, https://doi.org/10.5194/isprs-archives-XLII-3-W6-223-2019,https://doi.org/10.5194/isprs-archives-XLII-3-W6-223-2019, 2019

RICE GRAIN YIELD ESTIMATION OVER SOME ASIAN COUNTRIES USING ISRO’S SCATSAT-1 KU-BAND SCATTEROMETER DATA

R. Tripathy, B. K. Bhattacharya, P. Tahlani, P. Gaur, and S. S. Ray

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W6, 257–262, https://doi.org/10.5194/isprs-archives-XLII-3-W6-257-2019,https://doi.org/10.5194/isprs-archives-XLII-3-W6-257-2019, 2019

ANALYSIS OF REMOTE SENSING-BASED ASSESSMENT OF POTATO STATISTICS AND ITS COMPARISON WITH GOVERNMENT ESTIMATES

P. Kumar, S. Dubey, M. M. Kimothi, Neetu, S. Mamatha, and S. S. Ray

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W6, 299–305, https://doi.org/10.5194/isprs-archives-XLII-3-W6-299-2019,https://doi.org/10.5194/isprs-archives-XLII-3-W6-299-2019, 2019

GEOSPATIAL PERSPECTIVE FOR POST-HARVEST INFRASTRUCTURE MANAGEMENT: POSITIONING OF NEW COLD STORAGE

P. Vijjapu, M. M. Kimothi, S. Roy, S. Mamatha, and S. S. Ray

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W6, 339–344, https://doi.org/10.5194/isprs-archives-XLII-3-W6-339-2019,https://doi.org/10.5194/isprs-archives-XLII-3-W6-339-2019, 2019

QUALITY CHECKING OF CROP CUTTING EXPERIMENTS USING REMOTE SENSING DATA: A CASE STUDY FOR RICE CROP IN ODISHA

S. K. Dubey, D. Mandloi, A. S. Gavli, A. Latwal, R. Das, and S. S. Ray

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W6, 461–466, https://doi.org/10.5194/isprs-archives-XLII-3-W6-461-2019,https://doi.org/10.5194/isprs-archives-XLII-3-W6-461-2019, 2019

COMPARISON OF AGRICULTURAL SITUATION OF INDIA FOR TWO YEARS (2017 AND 2018) USING VARIOUS DROUGHT ASSESSMENT INDICATORS DURING SOUTH WEST MONSOON SEASON IN INDIA

S. Saxena, K. Choudhary, R. Saxena, A. Rabha, P. Tahlani, and S. S. Ray

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W6, 499–505, https://doi.org/10.5194/isprs-archives-XLII-3-W6-499-2019,https://doi.org/10.5194/isprs-archives-XLII-3-W6-499-2019, 2019

DETECTION OF BACTERIAL WILT DISEASE (PSEUDOMONAS SOLANCEARUM) IN BRINJAL USING HYPERSPECTRAL REMOTE SENSING

A. Srivastava, S. Roy, M. M. Kimothi, P. Kumar, S. Sehgal, S. Mamatha, and S. S. Ray

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W6, 515–520, https://doi.org/10.5194/isprs-archives-XLII-3-W6-515-2019,https://doi.org/10.5194/isprs-archives-XLII-3-W6-515-2019, 2019

IDENTIFICATION OF RICE CROP PHENOLOGY USING SCATSAT-1 KU-BAND SCATTEROMETER IN PUNJAB AND HARYANA

P. Gaur, P. Tahlani, R. Tripathy, B. K. Bhattacharya, and S. S. Ray

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W6, 549–555, https://doi.org/10.5194/isprs-archives-XLII-3-W6-549-2019,https://doi.org/10.5194/isprs-archives-XLII-3-W6-549-2019, 2019

EXPLORING MACHINE LEARNING CLASSIFICATION ALGORITHMS FOR CROP CLASSIFICATION USING SENTINEL 2 DATA

Neetu and S. S. Ray

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W6, 573–578, https://doi.org/10.5194/isprs-archives-XLII-3-W6-573-2019,https://doi.org/10.5194/isprs-archives-XLII-3-W6-573-2019, 2019

VEGETATION CONDITION INDEX: A POTENTIAL YIELD ESTIMATOR

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