Soil moisture measurement and retrieval using simulated ASAR imagery - Results of the Thames 1997 experiment

被引:0
|
作者
Stuttard, M [1 ]
Zmuda, AD [1 ]
Bird, P [1 ]
Corr, D [1 ]
Blyth, K [1 ]
Rast, M [1 ]
机构
[1] Remote Sensing Applicat Consultants Ltd, Alton GU34 5PZ, Hants, England
关键词
D O I
暂无
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
This paper reports results of research into the potential of ESA's future Advanced Synthetic Aperture Radar (ASAR) for soil moisture measurement and retrieval. Results from earlier simulation work using ERS-1 imagery, confirmed the sensitivity of ASAR backscatter to soil moisture at different spatial resolutions. New research conducted during 1997 aimed to extend the simulation and investigate the sensitivity of ASAR backscatter to soil moisture at different spatial resolutions and incidence angles. ASAR's high (30m), medium (150m) and low (1000m) resolution imaging modes were spatially and radiometrically simulated using ERS-2 and RADARSAT data. Work has proceeded at three test sites and the results are reported here for the Thames site in the UK. A comprehensive set of satellite imagery and ground data at catchment scale was acquired for this site during the 1997 crop growing period. ASAR products were simulated from 10 ERS-2 and 6 Radarsat images and the backscatter measurements compared to soil moisture measured an the day of acquisition. The results demonstrate the effects of crop cover, spatial resolution and incidence angle on soil moisture sensitivity and retrieval at the catchment scale.
引用
收藏
页码:445 / 450
页数:6
相关论文
共 50 条
  • [1] Soil moisture measurement and retrieval using Envisat ASAR imagery
    Li, Z
    Ren, X
    Li, XW
    Wang, L
    [J]. IGARSS 2004: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM PROCEEDINGS, VOLS 1-7: SCIENCE FOR SOCIETY: EXPLORING AND MANAGING A CHANGING PLANET, 2004, : 3539 - 3542
  • [2] On the retrieval of soil moisture using multi parameter SAR data: Simulated results
    Satalino, G
    Pasquariello, G
    Mattia, F
    Le Toan, T
    Davidson, M
    Borgeaud, M
    [J]. IGARSS 2000: IEEE 2000 INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOL I - VI, PROCEEDINGS, 2000, : 1690 - 1692
  • [3] Near-surface soil moisture retrieval from ASAR wide swath imagery using a principal component analysis
    Kong, X.
    Dorling, S. R.
    [J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 2008, 29 (10) : 2925 - 2942
  • [4] Mapping Spatial and Temporal Patterns of Soil Moisture with ASAR Imagery in the Alps
    Pasolli, L.
    Notarnicola, C.
    Bruzzone, L.
    Bertoldi, G.
    Zebisch, M.
    [J]. SAR IMAGE ANALYSIS, MODELING, AND TECHNIQUES XII, 2012, 8536
  • [5] Soil moisture estimation using ASAR data
    Baghdadi, Nicolas
    El Hajj, Mahmoud
    Holah, Noha
    Cerdan, Olivier
    Denux, Jean Philippe
    King, Christine
    Gay, Michel
    [J]. DRAGON PROGRAMME MID-TERM RESULTS, PROCEEDINGS, 2006, 611 : 13 - +
  • [6] Retrieval of crop biomass and soil moisture from ASAR/ENVISAT data
    Paloscia, S.
    Macelloni, G.
    Pampaloni, P.
    Pettinato, S.
    Santi, E.
    [J]. GLOBAL DEVELOPMENTS IN ENVIRONMENTAL EARTH OBSERVATION FROM SPACE, 2006, : 385 - +
  • [7] Soil Moisture Retrieval Based on ASAR Data and Genetic Neural Networks
    Xiao Changlin
    Chen Yan
    Liu Lina
    Ton Ling
    Jia Mingquan
    [J]. ADVANCED MATERIALS IN MICROWAVES AND OPTICS, 2012, 500 : 198 - 203
  • [8] Semi-analytical Soil Moisture Retrieval Using PolSAR Imagery
    Khedri, Esmaeil
    Hasanlou, Mahdi
    Tabatabaeenejad, Alireza
    [J]. 2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2017, : 4897 - 4900
  • [9] Wind vector retrieval using dual polarization imagery of ASAR
    Song Guiting
    Hou Yijun
    Qi Peng
    [J]. PROGRESS IN NATURAL SCIENCE-MATERIALS INTERNATIONAL, 2006, 16 (11) : 1183 - 1187
  • [10] Wind vector retrieval using dual polarization imagery of ASAR
    SONG Guiting~ 1
    2. Graduate School
    [J]. Progress in Natural Science:Materials International, 2006, (11) : 1183 - 1187