Zobrazeno 1 - 10
of 58
pro vyhledávání: '"Shibendu S. Ray"'
Autor:
Sunil Dubey, Andrew P. Smith, Pranay Panjala, Anthony M. Whitbread, Rajesh Das, Venkata Radha Akuraju, Shibendu S. Ray, Murali Krishna Gumma, M D M Kadiyala
Publikováno v:
Journal of the Indian Society of Remote Sensing. 50:257-270
Crop yield estimation is important to inform logistics management such as the prescription of nutrient inputs, financing, storage and transport, marketing as well as to inform for crop insurance appraisals due to loss incurred by abiotic and biotic s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::477aa5ce7f7f7919eeb2ae2f6e535258
https://doi.org/10.1007/s12524-021-01341-6
https://doi.org/10.1007/s12524-021-01341-6
Publikováno v:
Journal of the Indian Society of Remote Sensing. 49:71-83
Indian Remote Sensing (IRS) program has always focused on food security needs and applications. IRS-1C was the fourth satellite on the IRS platform after many successful applications from IRS-1A, 1B, and P2 satellites. The LISS-I and LISS-II camera o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::101acd770016636541dbdcc5cedcb21e
https://doi.org/10.1007/s12524-020-01282-6
https://doi.org/10.1007/s12524-020-01282-6
Autor:
Neetu, Shibendu S. Ray
Publikováno v:
Remote Sensing Letters. 11:1157-1166
This study evaluates various combinations of data fusion techniques at Pixel, Feature, and Decision level for crop classification using Sentinel-1 Synthetic Aperture Radar (SAR) data and Resourcesa...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a0f6cd66f4eaefff1c5f55a84c09626a
https://doi.org/10.1080/2150704x.2020.1832278
https://doi.org/10.1080/2150704x.2020.1832278
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-3-W6, Pp 217-222 (2019)
India is one of the world’s largest producers of rice, accounting for 20% of all world rice production. Rice crop occupies nearly 27.6% of the India’s arable land with average consumption per capita/year was ~68.2 kg milled rice. Being a staple f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cdc82cb6e9a702cd3fb55b928be2fa87
https://doi.org/10.5194/isprs-archives-xlii-3-w6-217-2019
https://doi.org/10.5194/isprs-archives-xlii-3-w6-217-2019
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-3-W6, Pp 257-262 (2019)
Rice crop monitoring and yield prediction at country-scale can be effectively done using high-repeat active microwave remote sensors due to its all-weather observation capability of land surface. The Ku-band with a frequency of 13.515 GHz has the a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae0d82ac8975a0ba638d2a8c04c02db7
https://doi.org/10.5194/isprs-archives-xlii-3-w6-257-2019
https://doi.org/10.5194/isprs-archives-xlii-3-w6-257-2019
ANALYSIS OF WHEAT CROP FORECASTS, IN INDIA, GENERATED USING REMOTE SENSING DATA, UNDER FASAL PROJECT
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-3-W6, Pp 223-228 (2019)
Wheat (Triticum aestivum L.) is a major cereal crop of the world, which plays an important role in global food and nutritional security. In India, wheat grown areas are more as compared to other food crops, except for rice. The total area under wheat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::688471709b0e6afbe3b4d01d7abafe76
https://doi.org/10.5194/isprs-archives-xlii-3-w6-223-2019
https://doi.org/10.5194/isprs-archives-xlii-3-w6-223-2019
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-3-W6, Pp 461-466 (2019)
Under Pradhan Mantri Fasal Bima Yojana (PMFBY), a large number of Crop Cutting Experiments (CCEs) were conducted by Odisha State for Kharif Rice in the year 2016 and 2017. The present study was carried out to examine the quality of the performed CCEs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::905620152e511a8d204c3923f51a4922
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W6/461/2019/isprs-archives-XLII-3-W6-461-2019.pdf
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W6/461/2019/isprs-archives-XLII-3-W6-461-2019.pdf
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-3-W6, Pp 211-215 (2019)
Early yield assessment at local, regional and national scales is a major requirement for various users such as agriculture planners, policy makers, crop insurance companies and researchers. Current study explored a remote sensing-based approach of pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c25be30e7f585fb56efcc556ee7095a
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W6/211/2019/isprs-archives-XLII-3-W6-211-2019.pdf
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W6/211/2019/isprs-archives-XLII-3-W6-211-2019.pdf
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-3-W6, Pp 79-84 (2019)
Sorghum (Sorghum vulgare Pers.) popularly known as jowar is the most important food and fodder crop of dry land agriculture. It is generally grown in both Kharif and Rabi season, with sown area of 25.3 and 38.3 lakh ha, respectively, at National leve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7470ba16290c6993c56a2b793b13739a
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W6/79/2019/isprs-archives-XLII-3-W6-79-2019.pdf
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W6/79/2019/isprs-archives-XLII-3-W6-79-2019.pdf
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-3-W6, Pp 31-36 (2019)
This study is based on the fortnightly monitoring of residue burning in fields of kharif rice crops after harvesting in Punjab and Haryana. The kharif rice area (2018–19) was derived using multi-date Sentinel-1A(Microwave SAR) data under FASAL proj
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8fad867feaa7f180b0a6cc3880ec5f16
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W6/31/2019/isprs-archives-XLII-3-W6-31-2019.pdf
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W6/31/2019/isprs-archives-XLII-3-W6-31-2019.pdf