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Analysis of the use of NDWIgreen and NDWIred for inland water mapping in the Yellow River Basin using Landsat-8 OLI imagery

Remote Sensing Letters, 2017
ABSTRACTClear and green water bodies reflect more green light than red light, while brown water bodies reflect more red light than green light. It is thus believed that the normalized difference water indexes using the green band and infrared wavelengths (NDWIgreen) and the normalized difference water indexes using the red band and infrared wavelengths
Dajiang Yan   +4 more
openaire   +1 more source

Water stress monitoring using NDWI around deserts of China and Mongolia

SPIE Proceedings, 2009
The fluctuation of vegetation water condition around desert area is one of most important parameters to interpret the desertification expansion. United Nations reported that about 35 million square kilometers of land are subject to desertification. Historically, many parts of China have been suffered from severe desertification.
Ga-Lam Lee   +4 more
openaire   +1 more source

NDWI-DeepLabv3+: High-Precision Extraction of Water Bodies from Remote Sensing Images

2020 The 3rd International Conference on Machine Learning and Machine Intelligence, 2020
How to efficiently and accurately extract water bodies from remote sensing images is the focus of scholars' research. Current research often does not make full use of the unique multi-band data of remote sensing images. This paper proposes an improved NDWI-DeepLabv3+ network to improve the accuracy of water body extraction, especially from urban remote
Yuhao Peng   +4 more
openaire   +1 more source

Mapping and analysis of the flooded areas using NDWI

2019
There is a single-channel and multi-channel approach to classification. Access Code that uses multiple channels, NDVI (Normalized Difference Vegetation Index) and "water" index NDWI (Normalized Difference Water Index). NDWI index is similar as the NDVI-ROM, and the function is visible green and close infrared radiation. This formulation index enabled: (
Župan, Robert   +3 more
openaire   +2 more sources

Spatial and temporal variation in NDVI and NDWI of the Ukhma River Basin, Central India

JOURNAL OF SCIENTIFIC RESEARCH, 2022
The present study is a reasonable step on quantitative approaches of water management and advancement of groundwater potential for watershed development of the Ukhma River Basin with the help of remote sensing and GIS techniques. The Ukhma River is one of the significant NW (north-west) flowing tributaries of the Tons River in Central India occupying a
S. Singh   +3 more
openaire   +1 more source

Analisa Perubahan Garis Pantai Di Kabupaten Indramayu Menggunakan NDWI

Jurnal Perikanan Unram
Kabupaten Indramayu merupakan salah satu daerah di pesisir utara Pulau Jawa dengan panjang garis pantai ±140 km. Selama 15 tahun terakhir telah terjadi fenomena abrasi dan akresi di Kabupaten Indramayu, sehingga menyebabkan perubahan besar pada garis pantai. Oleh karena itu, perlu memanfaatkan teknologi penginderaan jauh untuk melakukan penelitian guna
Alya Sekar Hapsari, Aning Haryati
openaire   +1 more source

Why NDWI threshold varies in delineating water body from multitemporal images?

2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
Water body can be extracted from a satellite image with normalized difference water index (NDWI). It is commonly known that the index varies if extracting water body using multi-temporal images. This study selected 33 cloud-free scenes of MODerate-resolution Imaging Spectroradiometer (MODIS) data over the Poyang Lake region located in a subtropical ...
openaire   +1 more source

Identifying Rivers with Varying Width Through NDWI from Landsat 8 Images

IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 2023
openaire   +1 more source

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