Zobrazeno 1 - 10
of 196
pro vyhledávání: '"N. R. PATEL"'
Autor:
Suryakant Bajirao Tarate, N. R. Patel, Abhishek Danodia, Shweta Pokhariyal, Bikash Ranjan Parida
Publikováno v:
Geomatics, Vol 4, Iss 2, Pp 91-123 (2024)
Effective management of water resources is crucial for sustainable development in any region. When considering computer-aided analysis for resource management, geospatial technology, i.e., the use of remote sensing (RS) combined with Geographic Infor
Externí odkaz:
https://doaj.org/article/64414ccc70604d08b9518669bdb9d6f3
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-M-3-2023, Pp 49-55 (2023)
The rapid urbanization and population growth in Delhi have led to significant changes in the land and land cover, resulting in increased emissions and alterations in the urban energy balance. To understand these long-term trends and identify contribu
Externí odkaz:
https://doaj.org/article/4efb99f42db342c0b5ccdb51a28e35a0
Publikováno v:
Earth and Space Science, Vol 11, Iss 1, Pp n/a-n/a (2024)
Abstract The potential of single date fully Polarimetric RADARSAT‐2 data in retrieving crop biophysical parameters using Machine Learning techniques was investigated. Various polarimetric parameters along with coherent and incoherent decomposition
Externí odkaz:
https://doaj.org/article/0302774a2a1345fcb05cc69e8579eae7
Autor:
S. M. Kirthiga, N. R. Patel
Publikováno v:
AgriEngineering, Vol 4, Iss 4, Pp 1054-1075 (2022)
In-season crop production forecasts at the regional or sub-regional scale are essential to aid in food security through early warning of harvest shortfall/surplus, tailoring crop management decisions and addressing climatic shock. Considering the eff
Externí odkaz:
https://doaj.org/article/ffa07bd6597f44d4869a842adf41097d
Autor:
T. Rajasivaranjan, Aavudai Anandhi, N. R. Patel, Masoud Irannezhad, C. V. Srinivas, Kumar Veluswamy, U. Surendran, P. Raja
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-20 (2022)
Abstract This study evaluated the effects of water stress on rice yield over Punjab and Haryana across North India by integrating Weather Research Forecasting (WRF) and Decision Support System for Agrotechnology Transfer (DSSAT) models. Indian Remote
Externí odkaz:
https://doaj.org/article/fcf31963f0364e018d5910014ad94c90
Publikováno v:
Journal of Agrometeorology, Vol 25, Iss 3 (2023)
Crop yield prediction at regional levels is an essential task for the decision-makers for rapid decision making. Pre-harvest prediction of a crop yield can prevent a disastrous situation and help decision-makers to apply more reliable and accurate st
Externí odkaz:
https://doaj.org/article/3724f5f131f94beca0ddbb05edd4a3a2
Publikováno v:
Agronomy, Vol 13, Iss 9, p 2302 (2023)
In India, agriculture serves as the backbone of the economy, and is a primary source of employment. Despite the setbacks caused by the COVID-19 pandemic, the agriculture and allied sectors in India exhibited resilience, registered a growth of 3.4% du
Externí odkaz:
https://doaj.org/article/8dd9d7d5ed3d4cef8429da327de53295
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-3-W6, Pp 229-233 (2019)
The objective of this research work aims at crop acreage estimation at mill catchment level, derivation of sugarcane phenology and yield estimation at field level. The study was carried out in Kisan Sahkari Chini Mill catchment, Nanauta, Saharanpur,
Externí odkaz:
https://doaj.org/article/6d674549fc2f46a7b482205a332df98a
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-5, Pp 877-882 (2018)
Information on the quantitative and qualitative distribution of forest biomass is helpful for effective forest management. Besides its quantitative use, Biomass plays a twin role by acting as a carbon source and sinks but its long-term carbon-storing
Externí odkaz:
https://doaj.org/article/2a28337d014f4ca88861ec0d05f3036b
Autor:
V.P. PRAMOD, B. BAPUJI RAO, S.S.V.S. RAMAKRISHNA, V.M. SANDEEP, N. R. PATEL, M.A. SARATH CHANDRAN, V.U.M. RAO, P. SANTHIBHUSHAN CHOWDARY, P. VIJAYA KUMAR
Publikováno v:
Journal of Agrometeorology, Vol 20, Iss 2 (2018)
Various global circulation models predict a change in net irrigation requirements worldwide due to the impacts of climate change and in India, depending upon the region, irrigation requirements are likely to change by different magnitudes. The spatia
Externí odkaz:
https://doaj.org/article/7a5e3a077e3548658d51e4b04cf2081f