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- W4376875520 abstract "The warming-wetting climates in Chinese drylands, together with a series of ecological engineering projects, had caused apparent changes to vegetation therein. Regarding the vegetation greening trend, different remote sensing data had yielded distinct findings. It was critical to evaluate vegetation dynamics in Chinese drylands using a series of remote sensing data. By comparing the three most commonly used remote sensing datasets [i.e., MODIS, Advanced Very High Resolution Radiometer (AVHRR), and Landsat], this study comprehensively investigated vegetation dynamics for Chinse drylands. All three remote sensing datasets exhibited evident vegetation greening trends from 2000 to 2020 in Chinese drylands, especially in the Loess Plateau and Northeast China. However, Landsat identified the largest greening areas (89.8%), while AVHRR identified the smallest greening area (58%). The vegetation greening areas identified by Landsat comprise more small patches than those identified by MODIS and AVHRR. The MODIS data exhibited a higher consistency with Landsat than with AVHRR in terms of detecting vegetation greening areas. The three datasets exhibited high consistency in identifying vegetation greening in Northeast China, Loess Plateau, and Xinjiang. The percentage of inconsistent areas among the three datasets was 39.56%. The vegetation greening areas identified by Landsat comprised more small patches. Sensors and the atmospheric effect are the two main reasons responsible for the different outputs from each NDVI product. Ecological engineering projects had a great promotion effect on vegetation greening, which can be detected by the three NDVI datasets in Chinese drylands, thereby combating desertification and reducing dust storms." @default.
- W4376875520 created "2023-05-18" @default.
- W4376875520 creator A5036118258 @default.
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- W4376875520 date "2023-05-17" @default.
- W4376875520 modified "2023-10-05" @default.
- W4376875520 title "Coarse spatial resolution remote sensing data with AVHRR and MODIS miss the greening area compared with the Landsat data in Chinese drylands" @default.
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- W4376875520 cites W1518113369 @default.
- W4376875520 cites W1549236953 @default.
- W4376875520 cites W1561608763 @default.
- W4376875520 cites W1834239181 @default.
- W4376875520 cites W1930021590 @default.
- W4376875520 cites W1965347260 @default.
- W4376875520 cites W1973110714 @default.
- W4376875520 cites W1975947941 @default.
- W4376875520 cites W1998081962 @default.
- W4376875520 cites W2003326025 @default.
- W4376875520 cites W2003795236 @default.
- W4376875520 cites W2018764772 @default.
- W4376875520 cites W2022270279 @default.
- W4376875520 cites W2029147576 @default.
- W4376875520 cites W2034672914 @default.
- W4376875520 cites W2035755931 @default.
- W4376875520 cites W2042009384 @default.
- W4376875520 cites W2045940139 @default.
- W4376875520 cites W2057387551 @default.
- W4376875520 cites W2059379980 @default.
- W4376875520 cites W2063923547 @default.
- W4376875520 cites W2069268000 @default.
- W4376875520 cites W2079984563 @default.
- W4376875520 cites W2101999464 @default.
- W4376875520 cites W2113410727 @default.
- W4376875520 cites W2115241128 @default.
- W4376875520 cites W2116673487 @default.
- W4376875520 cites W2124379907 @default.
- W4376875520 cites W2126282903 @default.
- W4376875520 cites W2136674707 @default.
- W4376875520 cites W2144423540 @default.
- W4376875520 cites W2151454884 @default.
- W4376875520 cites W2152287417 @default.
- W4376875520 cites W2177281010 @default.
- W4376875520 cites W2190083680 @default.
- W4376875520 cites W2200177631 @default.
- W4376875520 cites W2318680928 @default.
- W4376875520 cites W2336426693 @default.
- W4376875520 cites W2468878309 @default.
- W4376875520 cites W2531882454 @default.
- W4376875520 cites W2538322821 @default.
- W4376875520 cites W2549683514 @default.
- W4376875520 cites W2566485270 @default.
- W4376875520 cites W2580000994 @default.
- W4376875520 cites W2606551971 @default.
- W4376875520 cites W2611636295 @default.
- W4376875520 cites W2623681323 @default.
- W4376875520 cites W2725897987 @default.
- W4376875520 cites W2730922943 @default.
- W4376875520 cites W2731771604 @default.
- W4376875520 cites W2737640233 @default.
- W4376875520 cites W2770587905 @default.
- W4376875520 cites W2782084880 @default.
- W4376875520 cites W2884834553 @default.
- W4376875520 cites W2886665877 @default.
- W4376875520 cites W2892147966 @default.
- W4376875520 cites W2900033093 @default.
- W4376875520 cites W2908390250 @default.
- W4376875520 cites W2912077313 @default.
- W4376875520 cites W2946371073 @default.
- W4376875520 cites W3003362684 @default.
- W4376875520 cites W3083531807 @default.
- W4376875520 cites W3084236801 @default.
- W4376875520 cites W3087442748 @default.
- W4376875520 cites W3092607926 @default.
- W4376875520 cites W3128570900 @default.
- W4376875520 cites W3134365821 @default.
- W4376875520 cites W3138143104 @default.
- W4376875520 cites W3141888837 @default.
- W4376875520 cites W3197971175 @default.
- W4376875520 cites W3198003768 @default.
- W4376875520 cites W3213426859 @default.
- W4376875520 cites W3216397365 @default.
- W4376875520 cites W4214488831 @default.
- W4376875520 cites W4280621509 @default.
- W4376875520 cites W4288420805 @default.
- W4376875520 cites W4288873725 @default.
- W4376875520 cites W4291993219 @default.
- W4376875520 cites W4306641738 @default.
- W4376875520 cites W600580655 @default.
- W4376875520 doi "https://doi.org/10.3389/fpls.2023.1129665" @default.
- W4376875520 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37265636" @default.
- W4376875520 hasPublicationYear "2023" @default.
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