The application of the tasseled cap transformation and feature knowledge for the extraction of coastline information from remote sensing images

Chen, Chao; Bu, Juan; Zhang, Yuhuan; Zhuang, Yiyu; Chu, Yanli; Hu, Jiachen; Guo, Biyun

doi:10.1016/j.asr.2019.07.032

Cited by 36 publications

(18 citation statements)

References 50 publications

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“…A powerful implementation of economic activity monitoring research is remotely-sensed image, which provide an up-to-date and realistic presentation of the Earth's surface. Remote-sensing technology is an effective means of observing surface changes on the Earth due to its fast and wide-range imaging capability [5][6][7][8][9][10] . Since the 1970s, terrestrial Earth observation data have been continuously collected in various spectral, spatial and temporal resolutions 11,12 .…”

Section: Analysis Of Regional Economic Development Based On Land Use mentioning

confidence: 99%

Analysis of regional economic development based on land use and land cover change information derived from Landsat imagery

Chen

Liu

et al. 2020

Sci Rep

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consistent means for monitoring economic activities 22-25. The initial purpose of the DMSP/OLS, however, was to observe the clouds illuminated by moonlight, and the night-time light imagery was a by-product of the data under cloud-free conditions 26-30. Consequently, there remain some limitations when using NTL data: (1) Underestimation of economic activities that emit less or no additional night-time light, and in the potentially serious measurement errors of gross domestic product (GDP) growth, particularly in developing and emerging economies, the growth is more likely to be underestimated 31-33. (2) As the most important NTL data, DMSP-OLS data are provided by multiple DMSP satellites, and the fact that NTL data from different satellites in different years cannot be directly compared due to lack of onboard calibration is likely to be the main obstacle to a time-series analysis 34-37. (3) The DMSP-OLS NTL data provided by the NGDC have a geographic grid resolution of 30 arc seconds and a grid cell size that is approximately 0.86 km 2 at the equator 16. Therefore, the probability of multiple ground objects belonging to the same pixel is large, which affects the accuracy of economic activity evaluation 38. Generally, satellite remote-sensing missions are originally designed to monitor the physical environment of the Earth, for which the mapping of LUCC information is one of the most important applications 39,40. LUCC information is usually associated with and mainly driven by socioeconomic factors and is also a direct reflection of economic activities 41-43. It is well documented that the relationship between economic growth and LUCC information is not a one-way effect, but rather a complex relationship of interactions 44,45. On the one hand, economic activities have profoundly changed the surface morphology of the Earth. Moreover, with economic development and population increase, land use changes have accelerated sharply, and the land cover pattern changes have become more and more significant. On the other hand, the variation process of land use and land cover has significant impacts on economy. As the foundation for economic activities, land is an indispensable production factor for economic development, and the input of land resources plays an important role in promoting economic growth 34,46,47. Thus, in the coordinated process of LUCC information and economic development, changes in economic activity intensity can be reflected through LUCC information. Remotely-sensed image can intuitively and comprehensively reflect the dynamics of land use and land cover, and the types, quantities and locations of LUCC information can be obtained via classification technology from remotely-sensed image. Normal multispectral optical satellite data with various spatial, temporal and spectral resolutions have been extensively applied in investigations of LUCC information and its driving mechanism of socioeconomic factors 44,48. However, economic indicators for assessing economic development have rarely been connected to LU...

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Section: Analysis Of Regional Economic Development Based On Land Use mentioning

confidence: 99%

Analysis of regional economic development based on land use and land cover change information derived from Landsat imagery

Chen

Liu

et al. 2020

Sci Rep

Self Cite

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“…(39)(40)(41) In a 4D space, the spectral data points of vegetation are regularly distributed, forming a hatlike shape, giving the TCT its name. (42,43) The TCT has been widely used in remote sensing. It can compress multi-spectral data into a few bands that can be directly linked to physical scene characteristics that are easily understood.…”

Section: Tct Of Landsat 8 Oli Toa Reflectance Datamentioning

confidence: 99%

“…It can compress multi-spectral data into a few bands that can be directly linked to physical scene characteristics that are easily understood. (42)(43)(44) However, the TCT is sensor-dependent and affected by seasonal changes, and its availability varies with the geographic location. (44,45) Table 1 shows the TCT coefficients of reflectance data for Landsat 8 OLI TOA.…”

Section: Tct Of Landsat 8 Oli Toa Reflectance Datamentioning

confidence: 99%

Method of Water Body Information Extraction in Complex Geographical Environment from Remote Sensing Images

Chen¹,

Liang²,

Liu³

et al. 2022

Sensors and Materials

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“…Further, Feyisa et al ( 2014 ) developed an Automated Water Extraction Index (AWEI), which removes misclassification of shadow as water, by using multiple spectral bands. Tasseled Cap Wetness (TCW) index has also been used for water studies (Chen et al 2019 ). Even though there are numerous indices available, NDWI has been the most accepted and widely used, due to its simplicity, wide applicability to any water system, and usability with any satellite datasets (Watson et al 2018 ) such as for water body detection (Özelkan 2020 ), surface water mapping at 91% accuracy (Li et al 2013 ), for surface water dynamics (Sathianarayanan 2018 ), differentiating between water body and settlement areas (Singh et al 2015 ) and in India for Rabi River basin (Taloor et al 2021 ).…”

Section: Introductionmentioning

confidence: 99%

Monitoring migratory birds of India's largest shallow saline Ramsar site (Sambhar Lake) using geospatial data for wetland restoration

Naik

Sharma

2022

Wetlands Ecol Manage

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Globally, saline lakes occupy about 23% by area, and 44% by volume. Importantly, these lakes might desiccate by 2025 due to agricultural diversion, illegal encroachment, or modify due to pollution, and invasive species. India’s largest saline lake, Sambhar is currently shrinking at a phenomenal rate of 4.23% every decade due to illegal saltpan encroachments. This study aims to identify the trend of migratory birds and monthly wetland status. Birds’ survey was conducted for 2019, 2020 and 2021, and combined it with literature data of 1994, 2003, and 2013, for understanding their visiting trends, feeding habits, migratory and resident birds ratio, along with ecological diversity index analysis. Normalized Difference Water Index (NDWI) was scripted in Google Earth Engine. Results state that lake has been suitable for 97 species. Highest NDWI values was 0.71 in 2021 and lowest 0.008 in 2019. Notably, the decreasing trend of migratory birds coupled with decreasing water level indicates the dubious status for its existence. If these causal factors are not checked, it might completely desiccate. Authors recommend a few steps that might help conservation. Least, the cost of restoration might exceed the revenue generation. Supplementary Information The online version contains supplementary material available at 10.1007/s11273-022-09875-3.

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The application of the tasseled cap transformation and feature knowledge for the extraction of coastline information from remote sensing images

Cited by 36 publications

References 50 publications

Analysis of regional economic development based on land use and land cover change information derived from Landsat imagery

Analysis of regional economic development based on land use and land cover change information derived from Landsat imagery

Method of Water Body Information Extraction in Complex Geographical Environment from Remote Sensing Images

Monitoring migratory birds of India's largest shallow saline Ramsar site (Sambhar Lake) using geospatial data for wetland restoration

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