Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Varaprasad Bandaru"'
Autor:
Koutilya PNVR, Varaprasad Bandaru
Publikováno v:
Smart Agricultural Technology, Vol 6, Iss , Pp 100347- (2023)
Satellite remote sensing methods have been proven to quantify the burnt areas resulting from different fire activities reliably. However, they were reported to perform poorly to identify crop residue burnt areas, particularly in smallholder systems d
Externí odkaz:
https://doaj.org/article/4249274784e6469e91621d2f83532791
Autor:
Rohit Nandan, Varaprasad Bandaru, Jiaying He, Craig Daughtry, Prasanna Gowda, Andrew E. Suyker
Publikováno v:
Remote Sensing, Vol 14, Iss 21, p 5301 (2022)
The leaf area index (LAI) is a key crop biophysical variable influencing many vegetation processes. Spatial LAI estimates are essential to develop and improve spatial modeling tools to monitor vegetation conditions at large regional scales. Numerous
Externí odkaz:
https://doaj.org/article/6eda2abe3e37481ca31cfb1bbe4cdadb
Publikováno v:
Forests, Vol 13, Iss 4, p 549 (2022)
Hydrocarbon drop-in bio-jet fuels could help to reduce greenhouse gas emissions within the aviation sector. Large tracts of land will be required to grow biomass feedstock for this biofuel, and changes to the management of these lands could have subs
Externí odkaz:
https://doaj.org/article/da81f869a1d3430da9545aed7f44e166
Autor:
Varaprasad Bandaru, Raghu Yaramasu, Koutilya PNVR, Jiaying He, Sedano Fernando, Ritvik Sahajpal, Brian D. Wardlow, Andrew Suyker, Chris Justice
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 92, Iss , Pp 102188- (2020)
The accurate and timely estimates of crop physiological growth stages are essential for efficient crop management and precise modeling of agricultural systems. Satellite remote sensing has been widely used to retrieve vegetation phenology metrics at
Externí odkaz:
https://doaj.org/article/5a11d86ed7b2413e911d409a9434ae05
Autor:
Varaprasad Bandaru, Nathan C. Parker, Quinn Hart, Mark Jenner, Boon-Ling Yeo, Jordan T. Crawford, Yuanzhe Li, Peter Tittmann, Luke Rogers, Stephen Kaffka, Bryan Jenkins
Publikováno v:
California Agriculture, Vol 69, Iss 3, Pp 171-176 (2015)
Biofuels are expected to play a major role in meeting California's long-term energy needs, but many factors influence the commercial viability of the various feedstock and production technology options. We developed a spatially explicit analytic fr
Externí odkaz:
https://doaj.org/article/b367e1055f2944a386a2dc1e8da9e573
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 3, Iss 3, Pp 929-941 (2014)
Short rotation woody crops (SRWC), such as hybrid poplar, have the potential to serve as a valuable feedstock for cellulosic biofuels. Spatial estimates of biomass yields under different management regimes are required for assisting stakeholders in m
Externí odkaz:
https://doaj.org/article/c8349eec14e04c4791c875643adc8c80
Publikováno v:
Renewable Energy. 195:1454-1467
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::76cf93ff1dca8404cabdd6b8599e5f8c
https://doi.org/10.1016/j.renene.2022.05.162
https://doi.org/10.1016/j.renene.2022.05.162
Autor:
Raghu Yaramasu, Varaprasad Bandaru, Christopher O. Justice, Curtis D. Jones, R. Cesar Izaurralde, Craig S. T. Daughtry, Inbal Becker-Reshef, Ashwan Reddy, Fernando Sedano
Publikováno v:
ISPRS Journal of Photogrammetry and Remote Sensing. 183:34-53
Remote sensing derived datasets (e.g. Leaf Area Index (LAI)) are increasingly being used in process based cropping system models to improve the prediction skill of the simulations when implementing operationally at regional scale. However, challenges
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::605ade83b7bb2f2c54e99a0dafb983e7
https://doi.org/10.1016/j.isprsjprs.2021.10.024
https://doi.org/10.1016/j.isprsjprs.2021.10.024
Autor:
Kaiyan Li, Scott Kirkland, Boon-Ling Yeo, Carmen Tubbesing, Varaprasad Bandaru, Lan Song, Laura Holstege, Bruce Hartsough, Alissa Kendall, Bryan Jenkins
Publikováno v:
Biomass and Bioenergy. 173:106774
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::61a280772d6837a834571e679ece6300
https://doi.org/10.1016/j.biombioe.2023.106774
https://doi.org/10.1016/j.biombioe.2023.106774