Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
Drought Monitoring over Yellow River Basin from 2003–2019 Using Reconstructed MODIS Land Surface Temperature in Google Earth Engine
by
Wang, Ruimeng
, Niu, Wenhui
, Guo, Yan
, Pan, Li
, Song, Hongquan
, Xia, Haoming
, Zhao, Xiaoyang
, Bian, Xiqing
, Li, Rumeng
, Qin, Yaochen
in
Agricultural production
/ Air temperature
/ Datasets
/ Drought
/ Drought index
/ Environmental impact
/ Environmental monitoring
/ Evaluation
/ Hydrologic cycle
/ Internet
/ Land surface temperature
/ normalized difference vegetation index
/ Normalized difference vegetative index
/ Precipitation
/ Remote sensing
/ remote sensing drought index
/ River basins
/ Rivers
/ Soil moisture
/ Soil temperature
/ soil water
/ spatial and temporal pattern
/ surface temperature
/ Vegetation
/ Vegetation index
/ Water resources
/ Water resources management
/ Water shortages
/ watersheds
/ Yellow River
/ Yellow River Basin
2021
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Drought Monitoring over Yellow River Basin from 2003–2019 Using Reconstructed MODIS Land Surface Temperature in Google Earth Engine
by
Wang, Ruimeng
, Niu, Wenhui
, Guo, Yan
, Pan, Li
, Song, Hongquan
, Xia, Haoming
, Zhao, Xiaoyang
, Bian, Xiqing
, Li, Rumeng
, Qin, Yaochen
in
Agricultural production
/ Air temperature
/ Datasets
/ Drought
/ Drought index
/ Environmental impact
/ Environmental monitoring
/ Evaluation
/ Hydrologic cycle
/ Internet
/ Land surface temperature
/ normalized difference vegetation index
/ Normalized difference vegetative index
/ Precipitation
/ Remote sensing
/ remote sensing drought index
/ River basins
/ Rivers
/ Soil moisture
/ Soil temperature
/ soil water
/ spatial and temporal pattern
/ surface temperature
/ Vegetation
/ Vegetation index
/ Water resources
/ Water resources management
/ Water shortages
/ watersheds
/ Yellow River
/ Yellow River Basin
2021
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Drought Monitoring over Yellow River Basin from 2003–2019 Using Reconstructed MODIS Land Surface Temperature in Google Earth Engine
by
Wang, Ruimeng
, Niu, Wenhui
, Guo, Yan
, Pan, Li
, Song, Hongquan
, Xia, Haoming
, Zhao, Xiaoyang
, Bian, Xiqing
, Li, Rumeng
, Qin, Yaochen
in
Agricultural production
/ Air temperature
/ Datasets
/ Drought
/ Drought index
/ Environmental impact
/ Environmental monitoring
/ Evaluation
/ Hydrologic cycle
/ Internet
/ Land surface temperature
/ normalized difference vegetation index
/ Normalized difference vegetative index
/ Precipitation
/ Remote sensing
/ remote sensing drought index
/ River basins
/ Rivers
/ Soil moisture
/ Soil temperature
/ soil water
/ spatial and temporal pattern
/ surface temperature
/ Vegetation
/ Vegetation index
/ Water resources
/ Water resources management
/ Water shortages
/ watersheds
/ Yellow River
/ Yellow River Basin
2021
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Drought Monitoring over Yellow River Basin from 2003–2019 Using Reconstructed MODIS Land Surface Temperature in Google Earth Engine
Journal Article
Drought Monitoring over Yellow River Basin from 2003–2019 Using Reconstructed MODIS Land Surface Temperature in Google Earth Engine
2021
Request Book From Autostore
and Choose the Collection Method
Overview
Drought is one of the most complex and least-understood environmental disasters that can trigger environmental, societal, and economic problems. To accurately assess the drought conditions in the Yellow River Basin, this study reconstructed the Land Surface Temperature (LST) using the Annual Temperature Cycle (ATC) model and the Normalized Difference Vegetation Index (NDVI). The Temperature Condition Index (TCI), Vegetation Condition Index (VCI), Vegetation Health Index (VHI), and Temperature-Vegetation Drought Index (TVDI), which are four typical remote sensing drought indices, were calculated. Then, the air temperature, precipitation, and soil moisture data were used to evaluate the applicability of each drought index to different land types. Finally, this study characterized the spatial and temporal patterns of drought in the Yellow River Basin from 2003 to 2019. The results show that: (1) Using the LST reconstructed by the ATC model to calculate the drought index can effectively improve the accuracy of drought monitoring. In most areas, the reconstructed TCI, VHI, and TVDI are more reliable for monitoring drought conditions than the unreconstructed VCI. (2) The four drought indices (TCI, VCI, VH, TVDI) represent the same temporal and spatial patterns throughout the study area. However, in some small areas, the temporal and spatial patterns represented by different drought indices are different. (3) In the Yellow River Basin, the drought level is highest in the northwest and lowest in the southwest and southeast. The dry conditions in the Yellow River Basin were stable from 2003 to 2019. The results in this paper provide a basis for better understanding and evaluating the drought conditions in the Yellow River Basin and can guide water resources management, agricultural production, and ecological protection of this area.
Publisher
MDPI AG
This website uses cookies to ensure you get the best experience on our website.