|
|
|
|
| LEADER |
04521nma a2201237 u 4500 |
| 001 |
EB002173917 |
| 003 |
EBX01000000000000001311694 |
| 005 |
00000000000000.0 |
| 007 |
cr||||||||||||||||||||| |
| 008 |
230811 ||| eng |
| 020 |
|
|
|a 9783036581316
|
| 020 |
|
|
|a books978-3-0365-8131-6
|
| 020 |
|
|
|a 9783036581309
|
| 100 |
1 |
|
|a Wang, Jingzhe
|
| 245 |
0 |
0 |
|a Remote Sensing of Watershed
|h Elektronische Ressource
|
| 260 |
|
|
|a Basel
|b MDPI - Multidisciplinary Digital Publishing Institute
|c 2023
|
| 300 |
|
|
|a 1 electronic resource (288 p.)
|
| 653 |
|
|
|a vegetation browning
|
| 653 |
|
|
|a Sentinel-2
|
| 653 |
|
|
|a global climate change
|
| 653 |
|
|
|a models
|
| 653 |
|
|
|a Qinghai-Tibetan Plateau
|
| 653 |
|
|
|a hydrological monitoring
|
| 653 |
|
|
|a spring
|
| 653 |
|
|
|a Ganfu Plain irrigation system
|
| 653 |
|
|
|a VIC model
|
| 653 |
|
|
|a plastic film mulching
|
| 653 |
|
|
|a spatial diffusion patterns
|
| 653 |
|
|
|a n/a
|
| 653 |
|
|
|a Xinjiang
|
| 653 |
|
|
|a paddy rice
|
| 653 |
|
|
|a deep learning
|
| 653 |
|
|
|a SEBAL
|
| 653 |
|
|
|a spatio-temporal fusion model
|
| 653 |
|
|
|a circle structure
|
| 653 |
|
|
|a G-AquaCrop model
|
| 653 |
|
|
|a vegetation
|
| 653 |
|
|
|a dryland
|
| 653 |
|
|
|a vegetation cover
|
| 653 |
|
|
|a History of engineering and technology / bicssc
|
| 653 |
|
|
|a drought
|
| 653 |
|
|
|a NATT
|
| 653 |
|
|
|a aquaculture mapping
|
| 653 |
|
|
|a alpine wetland
|
| 653 |
|
|
|a SPEI
|
| 653 |
|
|
|a Technology: general issues / bicssc
|
| 653 |
|
|
|a vapor pressure deficit
|
| 653 |
|
|
|a Pearl River Basin
|
| 653 |
|
|
|a human pressures
|
| 653 |
|
|
|a TROPOMI
|
| 653 |
|
|
|a human footprint index
|
| 653 |
|
|
|a cultural hearth
|
| 653 |
|
|
|a autumn
|
| 653 |
|
|
|a Qijia culture (QJC)
|
| 653 |
|
|
|a maize yield
|
| 653 |
|
|
|a Sen + Mann-Kendall
|
| 653 |
|
|
|a carbon dioxide emissions
|
| 653 |
|
|
|a spatial distribution
|
| 653 |
|
|
|a interannual variation
|
| 653 |
|
|
|a GPP
|
| 653 |
|
|
|a multiscale analysis
|
| 653 |
|
|
|a Environmental science, engineering and technology / bicssc
|
| 653 |
|
|
|a Qinghai-Tibet Plateau
|
| 653 |
|
|
|a evapotranspiration
|
| 653 |
|
|
|a images reconstruction
|
| 653 |
|
|
|a Google Earth Engine
|
| 653 |
|
|
|a water retention service
|
| 653 |
|
|
|a SIF
|
| 653 |
|
|
|a suspended particulate matter (SPM)
|
| 653 |
|
|
|a macro control
|
| 653 |
|
|
|a EVI
|
| 653 |
|
|
|a VPD
|
| 653 |
|
|
|a China
|
| 653 |
|
|
|a multi-source remote sensing
|
| 653 |
|
|
|a land surface temperature
|
| 653 |
|
|
|a computer vision
|
| 653 |
|
|
|a phenology
|
| 653 |
|
|
|a GWR
|
| 653 |
|
|
|a texture feature
|
| 653 |
|
|
|a extreme drought
|
| 653 |
|
|
|a Ebinur Lake
|
| 653 |
|
|
|a warming hiatus
|
| 653 |
|
|
|a MODIS NDVI
|
| 653 |
|
|
|a wavelet analysis
|
| 653 |
|
|
|a LUCC
|
| 653 |
|
|
|a trend analysis
|
| 653 |
|
|
|a topography
|
| 653 |
|
|
|a water level recognition
|
| 653 |
|
|
|a Heihe River basin
|
| 700 |
1 |
|
|a Hu, Zhongwen
|
| 700 |
1 |
|
|a Wu, Yangyi
|
| 700 |
1 |
|
|a Zhang, Jie
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
| 989 |
|
|
|b DOAB
|a Directory of Open Access Books
|
| 500 |
|
|
|a Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
|
| 024 |
8 |
|
|a 10.3390/books978-3-0365-8131-6
|
| 856 |
4 |
2 |
|u https://directory.doabooks.org/handle/20.500.12854/112483
|z DOAB: description of the publication
|
| 856 |
4 |
0 |
|u https://www.mdpi.com/books/pdfview/book/7598
|7 0
|x Verlag
|3 Volltext
|
| 082 |
0 |
|
|a 900
|
| 082 |
0 |
|
|a 551.6
|
| 082 |
0 |
|
|a 363
|
| 082 |
0 |
|
|a 140
|
| 082 |
0 |
|
|a 700
|
| 082 |
0 |
|
|a 600
|
| 082 |
0 |
|
|a 620
|
| 520 |
|
|
|a This reprint focuses on applying remote sensing techniques in watersheds in terms of hydrology, ecology, environment, and human activities. It aims to contribute to the current understanding of integrating research scopes and developing advanced methods in the field of remote sensing of watershed. The development of the multiscalar, multidimensional, and interdisciplinary nature of the application of remote sensing in watershed studies is of particular interest. Special attention is given to watershed mapping, monitoring of underlying surface elements in the watershed, inversion of water cycle parameters, water resource assessment, acquisition of watershed ecological environment parameters, monitoring natural disasters, analyzing upstream and downstream, supporting water governance priorities, water resource development, and irrigation water management. The studies propose a series of advanced data, models, and strategies to serve watershed research better.
|