Paper Info
Title
An Airborne Remote Sensing Experiment for Catchment-Scale Water Cycle Study in a Typical Inland River Basin of China
Abstract
A simultaneous airborne, satellite and ground based remote sensing experiment which is aiming to improve the observability, understanding, and predictability of hydrological and related ecological processes at catchmental scale is implemented in a typical inland river basin of northwest China. The experiment is composed of the cold region, forest, and arid region hydrological experiments as well as a hydro/meteorological elements and Doppler radar precipitation observation experiment. Airborne microwave radiometers at L, K and Ka bands, hyperspectral imager, thermal imager, and lidar are used. Various satellite data are collected. Based on these observations, the remote sensing retrieval models and algorithms of water cycle variables can be developed or improved, and a catchment-scale land/hydrological data assimilation system is going to be developed.
Year
DOI
Venue
2008
10.1109/IGARSS.2008.4779089
IGARSS
Keywords
Field
DocType
airborne microwave radiometers,l band microwave radiometer,remote sensing retrieval algorithms,water cycle variables,thermal imager,cold region hydrological experiments,be developed.,doppler radar,k band microwave radiometer,ground based remote sensing experiment,china,ka band microwave radiometer,airborne remote sensing experiment,rivers,forest hydrological experiments,catchmental scale ecological processes,catchment scale water cycle,hydrological techniques,forest hydrology,cold region hydrology,remote sensing by radar,hyperspectral imager,inland river basin,remote sensing by laser beam,optical radar,lidar,environmental factors,arid region hydrology,remote sensing retrieval models,catchmental scale hydrological processes,hydrology remote sensing,doppler radar precipitation observation,reservoirs,satellite remote sensing experiment,arid region hydrological experiments,ecology,laser radar,data models,river basin,high resolution,hydrology,snow,meteorology,observability,radiometers,hyperspectral imaging,water cycle,arid region,hyperspectral sensors,remote sensing
Meteorology,Doppler radar,Satellite,Drainage basin,Computer science,Remote sensing,Surface runoff,Lidar,Data assimilation,Water cycle,Precipitation
Conference
Volume
ISBN
Citations 
2
978-1-4244-2808-3
0
PageRank 
References 
Authors
0.34
0
11
Name
Order
Citations
PageRank
Xin Li17916.63
Jian Wang230248.27
Mingguo Ma313525.69
Zeyong Hu430.80
Tao Che5308.66
Peixi Su600.34
Rui Jin79016.41
Weizhen Wang884.72
Qinhuo Liu928085.97
Qinhuo Liu1028085.97
Qing Xiao1101.35