Ecological Indicators, Год журнала: 2024, Номер 169, С. 112885 - 112885
Опубликована: Дек. 1, 2024
Язык: Английский
Ecological Indicators, Год журнала: 2024, Номер 163, С. 112120 - 112120
Опубликована: Май 11, 2024
Amidst swift socioeconomic progress, urbanization is intensifying, necessitating robust methodologies for environmental quality monitoring. Landscape Ecological Risk (LER) has emerged as a pivotal tool in this context. Extensive research focused on the land utilization rates within watersheds, scrutinizing them through lens of use/land cover (LULC) dynamics. This study delves into LULC attributes Bosten Lake Basin (BLB) across three temporal snapshots: 2000, 2010, and 2020. Grasslands bare ground made up vast majority area BLB. Selected twelve landscape pattern indices, analyzed their response curves with respect to grain size, determined optimal size be 150 m, analysed its optimum amplitude 10 km × basis semi-variance function, thus scale analyzing pattern. Exploring effect facilitates nuanced examination patterns use efficacy From 2000 2020, showed less fragmented, aggregated, more spatially heterogeneous. The ecological risk index model been constructed investigation LER change characteristics Lowest-risk zones lower-risk predominate In 2010 2020 combined lower lowest represent 62.02 %, 59.37 % 58.44 catchment respectively. Finally, spatial autocorrelation variation LER. global Moran' I BLB periods from exceeded 0.7. establishes theoretical practical foundation future multi-scale studies eco-fragile regions.
Язык: Английский
Процитировано
10
Remote Sensing, Год журнала: 2024, Номер 16(11), С. 1984 - 1984
Опубликована: Май 31, 2024
The rapid and accurate extraction of water information from satellite imagery has been a crucial topic in remote sensing applications important value resources management, environment monitoring, disaster emergency management. Although the OLI-2 sensor onboard Landsat-9 is similar to well-known OLI Landsat-8, there were significant differences average absolute percentage change bands for detection. Additionally, performance body yet be fully understood. Therefore, it conduct comparative studies evaluate with Landsat-8. In this study, we analyze simultaneous Landsat-8 data based on eight common indices (Normalized Difference Water Index (NDWI) Modified Normalized (MNDWI), Augmented (ANDWI), 2015 (WI2015), tasseled cap wetness index (TCW), Automated Extraction scenes shadows (AWEIsh) without (AWEInsh) Multi-Band (MBWI)) extract bodies seven study sites worldwide. Otsu algorithm utilized automatically determine optimal segmentation threshold extraction. results showed that (1) can used effectively, consistent those selected are applicable both satellites. (2) NDWI shows larger variability accuracy compared other when imagery. additional caution should exercised using analysis satellites simultaneously. (3) For imagery, ratio-based tend have more omission errors, while difference-based prone commission errors. Overall, exhibit greater overall accuracy, whereas demonstrate lower sensitivity variations area, showing smaller fluctuations higher robustness. This provide necessary references selection newest data. guiding combined use global surface mapping understanding its long-term changes.
Язык: Английский
Процитировано
7
Sustainability, Год журнала: 2025, Номер 17(4), С. 1414 - 1414
Опубликована: Фев. 9, 2025
The Tarim River Basin (TRB) in Northwest China has an extremely fragile ecological environment that is highly sensitive to climate change. Understanding the long-term change dynamics of vegetation coverage this arid zone critically important for predicting future trends as well improving regional protection and soil water conservation measures. Based on NDVI data from 2000 2022, a temporal spatial analysis TRB carried out using pixel dichotomy model, Sen trend analysis, MK test, Hurst index, correlation analysis. results reveal following: (1) shows fluctuating increasing trend, with decreases low areas increases high medium areas. Extremely accounts 46.89% study area. (2) Throughout 23-year period, cover essentially remains stable. proportion improved area greater than degraded area, accounting 66.49% 27.93%, respectively, there significant fluctuation variation, 29.99%. Further, variation vulnerability. continuous improvement 31.64%, which larger degradation (27.17%), uncertainty 41.18%, strongly random. (3) distance between land use closest river main limiting factor five studied sub-regions TRB. highest explanatory power combined precipitation 0.723. With Q value above 0.6, interaction type natural factors (e.g., temperature, precipitation, evapotranspiration, river, etc.) significant. This helpful predict TRB, provides scientific basis protection, conservation, planning.
Язык: Английский
Процитировано
0
Land, Год журнала: 2024, Номер 13(5), С. 712 - 712
Опубликована: Май 18, 2024
The response of dryland vegetation to climate change is particularly sensitive in the context global change. This paper analyzes characteristics spatial and temporal dynamics cover Tarim River Basin, China, its driving factors order investigate growth water storage changes basin. Enhanced Vegetation Index (EVI), GRACE gravity satellite, meteorological data from 2002 2022 are used decipher changes, which great significance realization regional ecological development sustainable development. results study show following: (1) Basin has an overall increasing trend, mainly distributed Aksu Weigangkuche spatially form a ring. (2) distribution greatly improved during 20-year period, dominated by high-cover vegetation, with rate 200.36%. Additionally, centered on watersheds expand surrounding area, clear increase Kumukuri Basin. Areas Hurst index <0.5 account for 63.27% areas continuous decrease were located outer contour area Kumu Kuri Basins. (3) There obvious differences correlation between EVI temperature precipitation elements. proportion positive within 64.67%. tends be consistent direction migration center population GDP, terrestrial reserves northern slopes Kunlun Mountains, about 50.513%. Kumukuli also shows significantly correlation.
Язык: Английский
Процитировано
0
Ecological Indicators, Год журнала: 2024, Номер 169, С. 112885 - 112885
Опубликована: Дек. 1, 2024
Язык: Английский
Процитировано
0