TY  - JOUR
T1  - An Improvement Method of Surface Water Extraction
Based on Remote Sensing Data
AU - Guo, Gong-De AU - Qing-Qing, Wang AU - Ting, Lan AU - Ming, Yu 
JO  - Journal of Engineering and Applied Sciences
VL  - 12
IS  - 5
SP  - 1342
EP  - 1346
PY  - 2017
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2017.1342.1346
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2017.1342.1346
KW  - Haitan island
KW  -TWI
KW  -Minjiang river estuary
KW  -landsat-5 TM imagery
KW  -Water extraction
KW  -CLC number TP701
AB  - Water is an important resource that is indispensable in people’s daily life and production. There are
water resource surveying and flood monitoring and disaster prevention and reduction. It is therefore necessary
to acquire accurate space-time distribution data of water resources. Traditionally, fieldwork is limited to real
application for its long measurement period and wasting a lot of human and material resources. Because of the
development of remote sensing technology, new measurement techniques for the water resource investigation
are provided herewith. The existing information extrapolation which is based on remote sensing data mainly
relies on spectral characteristics of water body. In order to extract the information of the water body more
conveniently and effectively, we propose an improved method of surface water extraction. We analyzed their
feature by using Minjiang river estuary as the research object and landsat-5 TM imagery as experimental data
source. Threshold Water Index (TWI) that is an effective water extraction method namely has been proposed
on the basis of analyzing the surface reflectance of water and its background features. The experiment was
applied in the water extraction at Haitan Island in Fujian and the experimental results illustrate this accuracy of
TWI was satisfying (97.5%). TWI is therefore a very effective method and is more rapid than previous
algorithm. TWT is well worth popularizing and applying for accurate space-time.
ER  -