Matches in SemOpenAlex for { <https://semopenalex.org/work/W4220781392> ?p ?o ?g. }
- W4220781392 endingPage "101617" @default.
- W4220781392 startingPage "101617" @default.
- W4220781392 abstract "Improvement in vegetation cover in the upper reaches of the Minjiang River protects major freshwater sources and constructs ecological barriers in the upstream of Yangtze River located in southwest China. However, the spatially varying relationships between normalized difference vegetation index (NDVI) and topographic factors at multiple scales remain unclear. In this study, the two-dimensional discrete wavelet transform (2D-DWT) and geographically weighted regression (GWR) were combined to build a framework for examining the complex spatial relationships between NDVI and topographic factors at multiple scales. Based on the gridded datasets of NDVI and digital elevation model (DEM) of a small watershed located in the upper reaches of the Minjiang River situated in southwest China, the influence of topographic factors on NDVI variation in each grid and which topographic variables correlated most with the NDVI at each location were analyzed in this study. The grid data were decomposed into smooth and detail components using 2D-DWT. The results revealed that elevation, slope, and aspect exhibited different scale effects on NDVI in different wavelet components. In the smooth components, the spatial correlation of NDVI with elevation, slope, and south-facing index (SFI) of aspect increased with the decomposition scale, whereas topographic factors had different degrees of influence on NDVI. Elevation was found to be the most important topographic factor that determined the spatial distribution of NDVI on both sides of the valley, and SFI exhibited the highest effect on NDVI when elevation was higher than 2500 m. In the detail components, the spatial distribution of the most important topographic factor affecting the NDVI was not evident at a smaller scale, whereas it became obvious at 480 m scale. SFI was found to be more important than elevation and slope at a larger scale. These results will help in understanding the complex relationship between NDVI and topographic factors and determining the appropriate topographic location for ecological restoration." @default.
- W4220781392 created "2022-04-03" @default.
- W4220781392 creator A5011814438 @default.
- W4220781392 creator A5014053320 @default.
- W4220781392 date "2022-07-01" @default.
- W4220781392 modified "2023-10-01" @default.
- W4220781392 title "Spatial relationships between NDVI and topographic factors at multiple scales in a watershed of the Minjiang River, China" @default.
- W4220781392 cites W1963963610 @default.
- W4220781392 cites W1965327443 @default.
- W4220781392 cites W1968454824 @default.
- W4220781392 cites W1983818266 @default.
- W4220781392 cites W1999299690 @default.
- W4220781392 cites W2003802684 @default.
- W4220781392 cites W2013746842 @default.
- W4220781392 cites W2016378607 @default.
- W4220781392 cites W2035834615 @default.
- W4220781392 cites W2046819454 @default.
- W4220781392 cites W2052854462 @default.
- W4220781392 cites W2063084563 @default.
- W4220781392 cites W2063198709 @default.
- W4220781392 cites W2065611846 @default.
- W4220781392 cites W2066030098 @default.
- W4220781392 cites W2086059812 @default.
- W4220781392 cites W2091804612 @default.
- W4220781392 cites W2120299288 @default.
- W4220781392 cites W2143058941 @default.
- W4220781392 cites W2161293062 @default.
- W4220781392 cites W2196852381 @default.
- W4220781392 cites W2218616968 @default.
- W4220781392 cites W2283727311 @default.
- W4220781392 cites W2288397888 @default.
- W4220781392 cites W2464487151 @default.
- W4220781392 cites W2473474734 @default.
- W4220781392 cites W2724305636 @default.
- W4220781392 cites W2740272977 @default.
- W4220781392 cites W2751856059 @default.
- W4220781392 cites W2753807006 @default.
- W4220781392 cites W2793529083 @default.
- W4220781392 cites W2800452116 @default.
- W4220781392 cites W2801514443 @default.
- W4220781392 cites W2902405216 @default.
- W4220781392 cites W2904939983 @default.
- W4220781392 cites W2917821209 @default.
- W4220781392 cites W2921297331 @default.
- W4220781392 cites W2921679333 @default.
- W4220781392 cites W2930650313 @default.
- W4220781392 cites W2940155623 @default.
- W4220781392 cites W2947253263 @default.
- W4220781392 cites W2973058116 @default.
- W4220781392 cites W2973268200 @default.
- W4220781392 cites W2973303088 @default.
- W4220781392 cites W2981459950 @default.
- W4220781392 cites W3008357481 @default.
- W4220781392 cites W3030943642 @default.
- W4220781392 cites W3040952795 @default.
- W4220781392 cites W3088144412 @default.
- W4220781392 cites W3103252281 @default.
- W4220781392 cites W3104365979 @default.
- W4220781392 cites W3174707724 @default.
- W4220781392 doi "https://doi.org/10.1016/j.ecoinf.2022.101617" @default.
- W4220781392 hasPublicationYear "2022" @default.
- W4220781392 type Work @default.
- W4220781392 citedByCount "17" @default.
- W4220781392 countsByYear W42207813922022 @default.
- W4220781392 countsByYear W42207813922023 @default.
- W4220781392 crossrefType "journal-article" @default.
- W4220781392 hasAuthorship W4220781392A5011814438 @default.
- W4220781392 hasAuthorship W4220781392A5014053320 @default.
- W4220781392 hasConcept C100970517 @default.
- W4220781392 hasConcept C111368507 @default.
- W4220781392 hasConcept C119857082 @default.
- W4220781392 hasConcept C127313418 @default.
- W4220781392 hasConcept C132651083 @default.
- W4220781392 hasConcept C142724271 @default.
- W4220781392 hasConcept C150547873 @default.
- W4220781392 hasConcept C1549246 @default.
- W4220781392 hasConcept C158709400 @default.
- W4220781392 hasConcept C173727882 @default.
- W4220781392 hasConcept C181843262 @default.
- W4220781392 hasConcept C187320778 @default.
- W4220781392 hasConcept C18903297 @default.
- W4220781392 hasConcept C205649164 @default.
- W4220781392 hasConcept C2524010 @default.
- W4220781392 hasConcept C2776133958 @default.
- W4220781392 hasConcept C2777016058 @default.
- W4220781392 hasConcept C2778755073 @default.
- W4220781392 hasConcept C33923547 @default.
- W4220781392 hasConcept C37054046 @default.
- W4220781392 hasConcept C39432304 @default.
- W4220781392 hasConcept C41008148 @default.
- W4220781392 hasConcept C58640448 @default.
- W4220781392 hasConcept C62649853 @default.
- W4220781392 hasConcept C71924100 @default.
- W4220781392 hasConcept C76886044 @default.
- W4220781392 hasConcept C86803240 @default.
- W4220781392 hasConceptScore W4220781392C100970517 @default.
- W4220781392 hasConceptScore W4220781392C111368507 @default.
- W4220781392 hasConceptScore W4220781392C119857082 @default.