Accuracy Assessment and Normalisation of Water Spread Area Estimate from Multi-sensor Satellite Data
- PDF / 1,904,579 Bytes
- 11 Pages / 595.276 x 790.866 pts Page_size
- 98 Downloads / 175 Views
RESEARCH ARTICLE
Accuracy Assessment and Normalisation of Water Spread Area Estimate from Multi-sensor Satellite Data Sai Santosh Kompella1 • Bharath Kumar Reddy Kadapala1 • K. Abdul Hakeem1 Lesslie Annamalai1
•
Annie Maria Issac1
•
Received: 10 February 2020 / Accepted: 17 September 2020 / Published online: 26 September 2020 Indian Society of Remote Sensing 2020
Abstract Water spread area is one of the few parameters that can be easily derived using multispectral satellite data. However, due to limitation in land–water boundary pixel delineation and availability of area estimate from simultaneous images of different spatial resolutions, it poses serious challenges for accurate estimation of water spread area. The area estimated from data of different resolutions is not the same owing to many factors like shape and size of the water body and the efficiency of the approaches to delineate land–water boundary pixel. In addition to this, multiple coverage of same water body from sensors of different resolutions will lead to varying water spread area estimates. In order to assess the effect of these factors on water spread area estimate, a study was undertaken to assess the accuracy of water spread area estimate using the fieldbased measurement and to establish relationship for normalisation of water spread area estimate from different resolution sensors. In this study, water boundary was traced by collecting continuous measurements of location with the help of satellite-based positioning system. The study showed that water spread area estimated through linear spectral unmixing of images from LISS IV, LISS III, AWiFS and MSI sensors resulted in better estimate compared to the index-based method. The error in estimate was less than 5% in all the cases except for AWiFS-based estimate for the smaller water body. The study also concluded that either simple linear regression equation or multiple linear regression equation can be used to normalise the water spread area estimated from different sensors. Keywords Water spread area Remote sensing Classification accuracy Multi-sensor normalisation
Introduction Accurate information on the quantity and quality of water resources is required to support sustainable economic and social development while addressing maintenance of environmental quality. Due to its dynamic nature with reference to space and time, gathering of information about water resources occurrence is a challenging task. Remote sensing technology, due to its inherent advantages, is one of the technologies used for water resources assessment. Among many parameters related to water resources that can be generated using remote sensing imagery, water spread area is one that can be easily derived using data from multispectral optical sensors as well as microwave sensors. However, due to & K. Abdul Hakeem [email protected] 1
limitation in land–water boundary pixel delineation and varying water spread area estimates from different spatial resolutions, it poses serious challenges for accurate estimatio
Data Loading...
