Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Chandra Sekhar Jha"'
Publikováno v:
Saudi Journal of Biological Sciences, Vol 24, Iss 2, Pp 410-420 (2017)
A study was conducted to understand the potential of Landsat-8 in the estimation of gross primary production (GPP) and to quantify the productivity of maize crop cultivated under hyper-arid conditions of Saudi Arabia. The GPP of maize crop was estima
Externí odkaz:
https://doaj.org/article/4699fc3d41e64cffbfc97730c7be1a28
Autor:
P. V. N. Rao, Chandra Sekhar Jha, Gillella Reddy, Gopalakrishnan Rajashekar, Jayant Singhal, C. Sudhakar Reddy, Parth Roy, Gaurav Srivastava
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 5064-5071 (2021)
Accurate assessment of carbon stock of trees is essential to model carbon dynamics in the forest ecosystem. Estimation of carbon stock at regional level involves successive quantitative modeling at various scales. While developments in airborne and s
Autor:
Arati Paul, D. V. Mahalakshmi, Vinay Kumar Dadhwal, M. M. Ali, Chandra Sekhar Jha, Dibyendu Dutta
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol II-8, Pp 9-12 (2014)
We present a method to estimate net surface radiation (NSR) from Terra MODIS data using Artificial Neural Network (ANN) technique. For this purpose, we trained the ANN model using MODIS atmospheric profile product of air temperature, dew point temper
Publikováno v:
Saudi Journal of Biological Sciences, Vol 24, Iss 2, Pp 410-420 (2017)
A study was conducted to understand the potential of Landsat-8 in the estimation of gross primary production (GPP) and to quantify the productivity of maize crop cultivated under hyper-arid conditions of Saudi Arabia. The GPP of maize crop was estima
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::81c79ea25d9a9a6c5b0190820c9a3a12
http://hdl.handle.net/11577/3272628
http://hdl.handle.net/11577/3272628