Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Çhandrashekhar M. Biradar"'
Autor:
Virupakshagowda C. Patil, Khalid A. Al-Gaadi, Rangaswamy Madugundu, ElKamil H. M. Tola, Samy Marey, Ali Aldosari, Chandrashekhar M. Biradar, Prasanna H. Gowda
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 8, Iss 1, Pp 284-297 (2015)
The primary objective of this study was to assess the water productivity (WP) of the annual (wheat, barley, and corn) and biennial (alfalfa and Rhodes grass) crops cultivated under centerpivot irrigation located over desert areas of the Al-Kharj regi
Externí odkaz:
https://doaj.org/article/4ef23b461937442fb05c14cca99bc2e6
Autor:
Jan de Leeuw, Anton Vrieling, Apurba Shee, Clement Atzberger, Kiros M. Hadgu, Chandrashekhar M. Biradar, Humphrey Keah, Calum Turvey
Publikováno v:
Remote Sensing, Vol 6, Iss 11, Pp 10888-10912 (2014)
Global insurance markets are vast and diverse, and may offer many opportunities for remote sensing. To date, however, few operational applications of remote sensing for insurance exist. Papers claiming potential application of remote sensing typicall
Externí odkaz:
https://doaj.org/article/970c92ac47a048dfae70d4b11c0cfe31
A Simple Algorithm for Large-Scale Mapping of Evergreen Forests in Tropical America, Africa and Asia
Autor:
Tunrayo Alabi, Michael Keller, Christina Czarnecki, Chandrashekhar M. Biradar, Xiangming Xiao
Publikováno v:
Remote Sensing, Vol 1, Iss 3, Pp 355-374 (2009)
The areal extent and spatial distribution of evergreen forests in the tropical zones are important for the study of climate, carbon cycle and biodiversity. However, frequent cloud cover in the tropical regions makes mapping evergreen forests a challe
Externí odkaz:
https://doaj.org/article/8a617e7425254eaa80d92bd18124b275
Autor:
Prasad S. Thenkabail, Venkateswarlu Dheeravath, Chandrashekhar M. Biradar, Obi Reddy P. Gangalakunta, Praveen Noojipady, Chandrakantha Gurappa, Manohar Velpuri, Muralikrishna Gumma, Yuanjie Li
Publikováno v:
Remote Sensing, Vol 1, Iss 2, Pp 50-67 (2009)
The goal of this research was to compare the remote-sensing derived irrigated areas with census-derived statistics reported in the national system. India, which has nearly 30% of global annualized irrigated areas (AIAs), and is the leading irrigated
Externí odkaz:
https://doaj.org/article/273291c26ff941aaae2be7fbe9856f73
Autor:
Sabirjan Isaev, Shavkat Kendjabaev, Herath Manthrithilake, Jagath Vithanage, Eyal Ben-Dor, Naftali Goldshlager, Victor Alchanatis, Yafit Cohen, Venkateswarlu Dheeravath, Muralikrishna Gumma, Xueliang Cai, Chandrashekhar M. Biradar, Prasad S. Thenkabail, Alexander Platonov
Publikováno v:
Sensors, Vol 8, Iss 12, Pp 8156-8180 (2008)
The overarching goal of this paper was to espouse methods and protocols for water productivity mapping (WPM) using high spatial resolution Landsat remote sensing data. In a world where land and water for agriculture are becoming increasingly scarce,
Externí odkaz:
https://doaj.org/article/29156c36a3d44c79b23f7fc019b23660
Autor:
Firoz Ahmad, Nazimur Rahman Talukdar, Çhandrashekhar M. Biradar, Shiv Kumar Dhyani, Javed Rizvi
Publikováno v:
Biophysical Economics and Sustainability. 7
Dieses Buch präsentiert die neuesten Erkenntnisse auf dem Gebiet des digitalen Ökosystems für Innovationen in der Landwirtschaft. Das Buch ist in zwei Abschnitte mit dreizehn Kapiteln unterteilt, die sich mit spezialisierten Bereichen befassen. Es
This book presents the latest findings in the areas of digital ecosystem for innovation in agriculture. The book is organized into two sections with thirteen chapters dealing with specialized areas. It provides the reader with an overview of the fram