Wetland change detection in Nile swamps of southern Sudan using multitemporal satellite imagery

Monitoring Hydrological Patterns of Temporary Lakes Using Remote Sensing and Machine Learning Models: Case Study of La Mancha Húmeda Biosphere Reserve in Central Spain

“…A Linear Discriminant Analysis Water Index (LDAWI) composed of the green, red, NIR and SWIR bands of SPOT-5 images to map lake surface [20] has also been used to compare in water indices. Furthermore, classic thematic classification methods have been used, such as the maximum likelihood method used to map surface water in a wetland [21,22], the NIR single-band method, a pixel-based method, the object-based segmentation band [23] and the Automated Water Extraction Index (AWEI) [24]. Furthermore, several researchers applied single-band thresholds, such as the NIR band based on the Advanced Very High Resolution Radiometer (AVHRR) and MODIS sensors, to map seasonal inland waters in Central Asia [25] and to estimate the water surface of Sub-Saharan West-African wetlands [26], respectively.…”

Estimating surface water area changes using time-series Landsat data in the Qingjiang River Basin, China

“…[1][2][3][4][5][6][7]11,12,[15][16][17][18][22][23][24][25][27][28][29] Nevertheless, we have found that there were different ratio water features extraction forms when MSS, TM, and ETMþ data were used. Especially for TM and ETMþ data, which band is selected for the NDWI or MNDWI method because there is one NIR band data (Band4: 0.77 to 0.90 μm) and two bands MIR data (Band5: 1.55 to 1.75 μm and Band7: 2.09 to 2.35 μm).…”

“…Additionally, water feature is one of the most important objects on the earth, and its extraction is of great significance to many related researches in remote sensing and hydrology domains. Over the past decades, multiresource remotely sensed data, such as the Thematic Mapper (TM), 1,2,7,17,[22][23][24][25]26 the Enhanced Thematic Mapper Plus (ETMþ), 3,5,25,27 the Systeme Probatoire d'Observation dela Tarre (SPOT), 4,6 the Multispectral Scanner System (MSS), 17 the Moderate-resolution Imaging Spectroradiometer (MODIS), 11,12,28 the Advanced Very High Resolution Radiometer (NOAA/ AVHRR), [15][16][17][18] and the Small Satellite Constellation for Environment and Disaster Monitoring A/B (HJ-1A/B), 2,29 have been used to extract water features. Some widely used data are MSS, TM, and ETMþ images provided by Landsat series satellites.…”

“…2 At the same time, land surface water is an important component of the water cycle. And water information extraction plays an important role in wetland inventory, [3][4][5][6] surface water survey and management, 7-14 flood monitoring and flood disaster risk assessment, [15][16][17][18][19][20] and environment monitoring. 21 Among the correlative research, surface water information extraction or the spatiotemporal change detection of surface water area is a key issue.…”

Estimation of Water Coverage in Permanent and Temporary Shallow Lakes and Wetlands by Combining Remote Sensing Techniques and Genetic Programming: Application to the Mediterranean Basin of the Iberian Peninsula

“…Although several methods to estimate water pixels from remote sensing sensors exist, such as single-band thresholds [10,11,19,20], image transformation [17,[21][22][23][24][25] or thematic classifications [26][27][28], water indices are widely used, since they are considered as less restrictive and more reproducible, especially for applications at large or even on a global scale [29][30][31]. Water indices are based on the capability of the water spectrum response in the near and middle infrared bands to identify flooded areas.…”