Landsat crop identification for watershed water balance determinations
作者:
JOHNR. JENSEN,
DONALDL. CHERY,
期刊:
International Journal of Remote Sensing
(Taylor Available online 1980)
卷期:
Volume 1,
issue 4
页码: 345-359
ISSN:0143-1161
年代: 1980
DOI:10.1080/01431168008948247
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
An expedient and accurate method for assessing the effect of intensive agriculture on a watershed water balance is needed, particularly for those areas where well irrigation is prevalent or becoming more so. Digital image processing of Landsat-3 data discriminated major field crops and forests in Tift County, Georgia, necessary for a water use assessment. A water balance model based on a modified Penman relationship was developed to estimate evapotranspiration. The remotely sensed data and local meteorological data were then used in a hydrologic model to predict watershed daily water balance. The simulation was evaluated by comparing model performance with water balance measurements for a 15.5 km2instrumented agricultural watershed.
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