Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Lingjun Kang"'
Publikováno v:
Journal of Integrative Agriculture, Vol 16, Iss 2, Pp 398-407 (2017)
Flood events and their impact on crops are extremely significant scientific research issues; however, flood monitoring is an exceedingly complicated process. Flood damages on crops are directly related to yield change, which requires accurate assessm
Externí odkaz:
https://doaj.org/article/41281ee434764a8bbb8ec888bba564f2
Publikováno v:
Journal of Integrative Agriculture, Vol 16, Iss 2, Pp 408-423 (2017)
Floods often cause significant crop loss in the United States. Timely and objective information on flood-related crop loss, such as flooded acreage and degree of crop damage, is very important for crop monitoring and risk management in agricultural a
Externí odkaz:
https://doaj.org/article/31a23cd035674fd480c6b549d36e03bb
Autor:
Li Lin, Liping Di, Junmei Tang, Eugene Yu, Chen Zhang, Md. Shahinoor Rahman, Ranjay Shrestha, Lingjun Kang
Publikováno v:
Remote Sensing, Vol 11, Iss 2, p 205 (2019)
The remote-sensing based Flood Crop Loss Assessment Service System (RF-CLASS) is a web service based system developed and managed by the Center for Spatial Information Science and Systems (CSISS). The system uses Moderate Resolution Imaging Spectrora
Externí odkaz:
https://doaj.org/article/f4ad87d7a180444da42591ad47564f0c
Publikováno v:
Journal of Integrative Agriculture, Vol 16, Iss 2, Pp 398-407 (2017)
Flood events and their impact on crops are extremely significant scientific research issues; however, flood monitoring is an exceedingly complicated process. Flood damages on crops are directly related to yield change, which requires accurate assessm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d4175a40b0bc98b8e4ed9f0717c5d37
https://doi.org/10.1016/s2095-3119(16)61502-2
https://doi.org/10.1016/s2095-3119(16)61502-2
Publikováno v:
Journal of Integrative Agriculture, Vol 16, Iss 2, Pp 408-423 (2017)
Floods often cause significant crop loss in the United States. Timely and objective information on flood-related crop loss, such as flooded acreage and degree of crop damage, is very important for crop monitoring and risk management in agricultural a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c1be51a1d74d70fa1e34afb33548ad8
http://www.sciencedirect.com/science/article/pii/S2095311916614995
http://www.sciencedirect.com/science/article/pii/S2095311916614995
Publikováno v:
Computers & Geosciences. 92:1-8
Geospatial Web Services (GWS) make geospatial information and computing resources discoverable and accessible over the Web. Among them, Open Geospatial Consortium (OGC) standards-compliant data, catalog and processing services are most popular, and h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a3e96d576dce1ee46511ac88eed5067
https://doi.org/10.1016/j.cageo.2016.04.005
https://doi.org/10.1016/j.cageo.2016.04.005
Autor:
Liping Di, Yu, Eugene Genong, Zhengwei Yang, Hipple, James, G. Robert Brakenridge, Lin, Li, Ranjay Shrestha, Lingjun Kang, Md. Shahino Rahman, Junmei Tang
Flood causes crop damages on a large scale. Correct decisions to mitigate flood-induced crop loss need extended information (time series and different spatial resolution and extend). A survey of user requirements reveals that the USDA National Agricu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c781d87455f6e4bf06029bded417536
Autor:
Md. Shahinoor Rahman, Liping Di, Zhengwei Yang, Lingjun Kang, Junmei Tang, Lei Hu, Ziheng Sun, Chen Zhang, Ranjay Shrestha, Guangyuan Yang, Li Lin, Eugene Genong Yu
Publikováno v:
Agro-Geoinformatics
Climate change has become a hot topic in recent years. Flood is one of the most common natural hazards caused from extreme climate change. Scientists have spent a lot of money and time on monitoring flood in past decades. The development of Remote Se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::985c45e73bd4f1e401779f87e46fb3dc
https://doi.org/10.1109/agro-geoinformatics.2017.8047064
https://doi.org/10.1109/agro-geoinformatics.2017.8047064
Autor:
Li Lin, Lei Hu, Lingjun Kang, Junmei Tang, Liping Di, Guangyuan Yang, Eugene G. Yu, Md. Shahinoor Rahman, Ranjay Shrestha, Chen Zhang
Publikováno v:
Agro-Geoinformatics
The Remote Sensing Flood Crop Loss Assessment (RF-CLASS) is a system of geospatial Web services that provide comprehensive services to decision makers in assessing flood-induced crop loss. It serves a series of vector-based geospatial data. Tradition
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c8585ef3c7cea2070f6c7e9a24a2611
https://doi.org/10.1109/agro-geoinformatics.2017.8047053
https://doi.org/10.1109/agro-geoinformatics.2017.8047053
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 7:4530-4538
Normalized Difference Vegetation Index (NDVI)-precipitation correlation has long been studied. In previous studies, the correlation was usually based on global regression model, which assumed such correlation be constant across the space. However, ND
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5af33044bc0ef14460283e14a6022c5f
https://doi.org/10.1109/jstars.2014.2361128
https://doi.org/10.1109/jstars.2014.2361128