105 related articles for article (PubMed ID: 38951302)
1. Intra-annual vegetation changes and spatial variation in China over the past two decades based on remote sensing and time-series clustering.
Cheng X; Luo M; Chen K; Sun J; Wu Y
Environ Monit Assess; 2024 Jun; 196(7):675. PubMed ID: 38951302
[TBL] [Abstract][Full Text] [Related]
2. The HANTS-fitted RSEI constructed in the vegetation growing season reveals the spatiotemporal patterns of ecological quality.
Miao W; Chen Y; Kou W; Lai H; Sazal A; Wang J; Li Y; Hu J; Wu Y; Zhao T
Sci Rep; 2024 Jun; 14(1):14686. PubMed ID: 38918459
[TBL] [Abstract][Full Text] [Related]
3. Remote sensing of water use efficiency in Southwest China's karst area.
Shi X; Bai S; Chen W
Environ Sci Pollut Res Int; 2022 Oct; 29(47):71166-71178. PubMed ID: 35595901
[TBL] [Abstract][Full Text] [Related]
4. Evolutionary trends and analysis of the driving factors of Ulva prolifera green tides: A study based on the random forest algorithm and multisource remote sensing images.
Hou W; Chen J; He M; Ren S; Fang L; Wang C; Jiang P; Wang W
Mar Environ Res; 2024 Jun; 198():106495. PubMed ID: 38688108
[TBL] [Abstract][Full Text] [Related]
5. Monitoring responses of vegetation phenology and productivity to extreme climatic conditions using remote sensing across different sub-regions of China.
Javed T; Li Y; Feng K; Ayantobo OO; Ahmad S; Chen X; Rashid S; Suon S
Environ Sci Pollut Res Int; 2021 Jan; 28(3):3644-3659. PubMed ID: 32929670
[TBL] [Abstract][Full Text] [Related]
6. Analysis of spatial and temporal changes in vegetation cover and its drivers in the Aksu River Basin, China.
Ding Y; Feng Y; Chen K; Zhang X
Sci Rep; 2024 May; 14(1):10165. PubMed ID: 38702367
[TBL] [Abstract][Full Text] [Related]
7. Investigating the urbanization process and its impact on vegetation change and urban heat island in Wuhan, China.
Gui X; Wang L; Yao R; Yu D; Li C
Environ Sci Pollut Res Int; 2019 Oct; 26(30):30808-30825. PubMed ID: 31444726
[TBL] [Abstract][Full Text] [Related]
8. Effect of climate and ecological restoration on vegetation changes in the "Three-River Headwaters" region based on remote sensing technology.
Guo B; Wang J; Mantravadi VS; Zhang L; Liu G
Environ Sci Pollut Res Int; 2022 Mar; 29(11):16436-16448. PubMed ID: 34647216
[TBL] [Abstract][Full Text] [Related]
9. Analysis of Spatial Heterogeneity and Influencing Factors of Ecological Environment Quality in China's North-South Transitional Zone.
Yin H; Chen C; Dong Q; Zhang P; Chen Q; Zhu L
Int J Environ Res Public Health; 2022 Feb; 19(4):. PubMed ID: 35206423
[TBL] [Abstract][Full Text] [Related]
10. The variation of vegetation greenness and underlying mechanisms in Guangdong province of China during 2001-2013 based on MODIS data.
Wu Y; Tang G; Gu H; Liu Y; Yang M; Sun L
Sci Total Environ; 2019 Feb; 653():536-546. PubMed ID: 30414583
[TBL] [Abstract][Full Text] [Related]
11. Understanding spatio-temporal variation of vegetation phenology and rainfall seasonality in the monsoon Southeast Asia.
Suepa T; Qi J; Lawawirojwong S; Messina JP
Environ Res; 2016 May; 147():621-9. PubMed ID: 26922262
[TBL] [Abstract][Full Text] [Related]
12. The Time-Lag Effect of Climate Factors on the Forest Enhanced Vegetation Index for Subtropical Humid Areas in China.
Qin J; Ma M; Shi J; Ma S; Wu B; Su X
Int J Environ Res Public Health; 2023 Jan; 20(1):. PubMed ID: 36613120
[TBL] [Abstract][Full Text] [Related]
13. Remote sensing estimation of the biomass of floating Ulva prolifera and analysis of the main factors driving the interannual variability of the biomass in the Yellow Sea.
Xiao Y; Zhang J; Cui T; Gong J; Liu R; Chen X; Liang X
Mar Pollut Bull; 2019 Mar; 140():330-340. PubMed ID: 30803652
[TBL] [Abstract][Full Text] [Related]
14. Study loss of vegetative cover and increased land surface temperature through remote sensing strategies under the inter-annual climate variability in Jinhua-Quzhou basin, China.
Ali S; Basit A; Ali S; Umair M; Makanda TA; Shaik MR; Khan M
Environ Sci Pollut Res Int; 2024 Apr; 31(20):28950-28966. PubMed ID: 38564132
[TBL] [Abstract][Full Text] [Related]
15. Variation in Vegetation and Its Driving Force in the Pearl River Delta Region of China.
Chen S; Zhu Z; Liu X; Yang L
Int J Environ Res Public Health; 2022 Aug; 19(16):. PubMed ID: 36011974
[TBL] [Abstract][Full Text] [Related]
16. Drought impact assessment from monitoring the seasonality of vegetation condition using long-term time-series satellite images: a case study of Mt. Kenya region.
Song Y; Njoroge JB; Morimoto Y
Environ Monit Assess; 2013 May; 185(5):4117-24. PubMed ID: 22972316
[TBL] [Abstract][Full Text] [Related]
17. Assessing climate impact on forest cover in areas undergoing substantial land cover change using Landsat imagery.
Yang Q; Zhang H; Peng W; Lan Y; Luo S; Shao J; Chen D; Wang G
Sci Total Environ; 2019 Apr; 659():732-745. PubMed ID: 31096403
[TBL] [Abstract][Full Text] [Related]
18. [Identification of forest vegetation types in southern China based on spatio-temporal fusion of GF-1 WFV and MODIS data].
Xu L; Ouyang XZ; Pan P; Zang H; Liu J; Yang K
Ying Yong Sheng Tai Xue Bao; 2022 Jul; 33(7):1948-1956. PubMed ID: 36052799
[TBL] [Abstract][Full Text] [Related]
19. Using a coupled dynamic factor - random forest analysis (DFRFA) to reveal drivers of spatiotemporal heterogeneity in the semi-arid regions of southern Africa.
Southworth J; Bunting E; Zhu L; Ryan SJ; Herrero HV; Waylen P; Muñoz-Carpena R; Campo-Bescós MA; Kaplan D
PLoS One; 2018; 13(12):e0208400. PubMed ID: 30550542
[TBL] [Abstract][Full Text] [Related]
20. Assessing Vegetation Cover Dynamics Induced by Policy-Driven Ecological Restoration and Implication to Soil Erosion in Southern China.
Zhang J; Wang T; Ge J
PLoS One; 2015; 10(6):e0131352. PubMed ID: 26115116
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
