Relationship among land surface temperature and LUCC, NDVI in typical karst area

Abstract

Land surface temperature (LST) can reflect the land surface water-heat exchange process comprehensively, which is considerably significant to the study of environmental change. However, research about LST in karst mountain areas with complex topography is scarce. Therefore, we retrieved the LST in a karst mountain area from Landsat 8 data and explored its relationships with LUCC and NDVI. The results showed that LST of the study area was noticeably affected by altitude and underlying surface type. In summer, abnormal high-temperature zones were observed in the study area, perhaps due to karst rocky desertification. LSTs among different land use types significantly differed with the highest in construction land and the lowest in woodland. The spatial distributions of NDVI and LST exhibited opposite patterns. Under the spatial combination of different land use types, the LST–NDVI feature space showed an obtuse-angled triangle shape and showed a negative linear correlation after removing water body data. In summary, the LST can be retrieved well by the atmospheric correction model from Landsat 8 data. Moreover, the LST of the karst mountain area is controlled by altitude, underlying surface type and aspect. This study provides a reference for land use planning, ecological environment restoration in karst areas.

Spatiotemporal Analysis of Land Use/Cover Patterns and Their Relationship with Land Surface Temperature in Nanjing, China

“…Additionally, seasonality, time of the day, and research methods are also aspects that can influence the accuracy of extracting LST [16]. Moreover, planned and traditional cities have different urban structures, which also impacts the LST [17]. Controlling the LST in the central area is crucial for people's health, living environment, and sustainable development.…”

Multivariate Logistic Regression Model for Soil Erosion Susceptibility Assessment under Static and Dynamic Causative Factors

“…By comparing LST and NDVI maps, it shows that regions with the lowest NDVI values have the highest LST values. This may be a result of land-use change that exposes the earth's surface in those areas [51,59]. A spatial distribution map of SMI (in Fig.…”

An Assessment of the Accuracy of MODIS Land Surface Temperature over Egypt Using Ground-Based Measurements

“…Specifically, decline in the frequency of cloudy days is mostly linked to an increase in sunshine (i.e., lower incoming shortwave radiation compared to outgoing longwave radiation) and, in turn, more warming. In the literature, several works have indirectly assessed the performance of LST by linking it with some key climatic and environmental variables which could have a strong influence on air temperature (e.g., solar radiation) (e.g., [25,28,62]). However, these studies demonstrated that the association between the LST and these variables can vary considerably over space in response to the dominant local characteristics (e.g., land use).…”

“…Furthermore, the MODIS LSTs are calibrated for atmospheric interference in NASA labs. Due to their simplicity and robustness, LST products retrieved from MODIS Terra and Aqua have increasingly been used in different research applications (e.g., [25,28,32,41,[57][58][59][60][61][62]). In this study, daytime and nighttime surface temperatures were extracted from the Aqua LST 8-day composite product (MYD11A2V.6) for the Egyptian territory for the period from July 2002 to June 2015.…”