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Refinado por: assunto: Earth Sciences remover assunto: Geosciences, Multidisciplinary remover
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1
Changes in vegetation cover on the Younghusband Peninsula transgressive dunefields (Australia) 1949–2017
Changes in vegetation cover on the Younghusband Peninsula transgressive dunefields (Australia) 1949–2017
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Changes in vegetation cover on the Younghusband Peninsula transgressive dunefields (Australia) 1949–2017

Moulton, Martim A.B. ; Hesp, Patrick A. ; Miot da Silva, Graziela ; Bouchez, Camille ; Lavy, Muriel ; Fernandez, Guilherme B.

Earth surface processes and landforms, 2019-02, Vol.44 (2), p.459-470 [Periódico revisado por pares]

Bognor Regis: Wiley Subscription Services, Inc

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2
Rock crevices determine woody and herbaceous plant cover in the karst critical zone
Rock crevices determine woody and herbaceous plant cover in the karst critical zone
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Rock crevices determine woody and herbaceous plant cover in the karst critical zone

Liu, Hongyan ; Jiang, Zihan ; Dai, Jingxi ; Wu, Xiuchen ; Peng, Jian ; Wang, Hongya ; Meersmans, Jeroen ; Green, Sophie M. ; Quine, Timothy A.

Science China. Earth sciences, 2019-11, Vol.62 (11), p.1756-1763 [Periódico revisado por pares]

Beijing: Science China Press

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3
Threshold of climate extremes that impact vegetation productivity over the Tibetan Plateau
Threshold of climate extremes that impact vegetation productivity over the Tibetan Plateau
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Threshold of climate extremes that impact vegetation productivity over the Tibetan Plateau

Piao, Zhenggang ; Li, Xiangyi ; Xu, Hao ; Wang, Kai ; Tang, Shuchang ; Kan, Fei ; Hong, Songbai

Science China. Earth sciences, 2024-03, Vol.67 (6), p.1967-1977 [Periódico revisado por pares]

Beijing: Science China Press

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4
Land surface temperature relation with normalized satellite indices for the estimation of spatio-temporal trends in temperature among various land use land cover classes of an arid Potohar region using Landsat data
Land surface temperature relation with normalized satellite indices for the estimation of spatio-temporal trends in temperature among various land use land cover classes of an arid Potohar region using Landsat data
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Land surface temperature relation with normalized satellite indices for the estimation of spatio-temporal trends in temperature among various land use land cover classes of an arid Potohar region using Landsat data

Tariq, Aqil ; Riaz, Iqra ; Ahmad, Zulfiqar ; Yang, Bisheng ; Amin, Muhammad ; Kausar, Rukhsana ; Andleeb, Shaista ; Farooqi, Muhammad Aslam ; Rafiq, Muhammad

Environmental earth sciences, 2020, Vol.79 (1), Article 40 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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5
Mechanisms of climate change impacts on vegetation and prediction of changes on the Loess Plateau, China
Mechanisms of climate change impacts on vegetation and prediction of changes on the Loess Plateau, China
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Mechanisms of climate change impacts on vegetation and prediction of changes on the Loess Plateau, China

Gou, Yongcheng ; Jin, Zhao ; Kou, Pinglang ; Tao, Yuxiang ; Xu, Qiang ; Zhu, Wenchen ; Tian, Haibo

Environmental earth sciences, 2024-04, Vol.83 (8), p.234, Article 234 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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6
Spatial and temporal variation characteristics of extreme hydrometeorological events in the Yellow River Basin and their effects on vegetation
Spatial and temporal variation characteristics of extreme hydrometeorological events in the Yellow River Basin and their effects on vegetation
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Spatial and temporal variation characteristics of extreme hydrometeorological events in the Yellow River Basin and their effects on vegetation

Song, Mengwei ; Jiang, Xiaohui ; Lei, Yuxin ; Zhao, Yirui ; Cai, Wenjuan

Natural hazards (Dordrecht), 2023-03, Vol.116 (2), p.1863-1878 [Periódico revisado por pares]

Dordrecht: Springer Netherlands

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7
Variability of urban fractional vegetation cover and its driving factors in 328 cities in China
Variability of urban fractional vegetation cover and its driving factors in 328 cities in China
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Variability of urban fractional vegetation cover and its driving factors in 328 cities in China

Feng, Fei ; Yang, Xin ; Jia, Baoquan ; Li, Xiaoting ; Li, Xianwen ; Xu, Chengyang ; Wang, Kaicun

Science China. Earth sciences, 2024-02, Vol.67 (2), p.466-482 [Periódico revisado por pares]

Beijing: Science China Press

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8
Response of vegetation ecosystem to climate change based on remote sensing and information entropy: a case study in the arid inland river basin of China
Response of vegetation ecosystem to climate change based on remote sensing and information entropy: a case study in the arid inland river basin of China
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Response of vegetation ecosystem to climate change based on remote sensing and information entropy: a case study in the arid inland river basin of China

Xu, Wei ; Liu, Hui ; Zhang, Qixing ; Liu, Pai

Environmental earth sciences, 2021-02, Vol.80 (4), Article 132 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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9
Relation of land surface temperature with different vegetation indices using multi-temporal remote sensing data in Sahiwal region, Pakistan
Relation of land surface temperature with different vegetation indices using multi-temporal remote sensing data in Sahiwal region, Pakistan
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Relation of land surface temperature with different vegetation indices using multi-temporal remote sensing data in Sahiwal region, Pakistan

Hussain, Sajjad ; Raza, Ali ; Abdo, Hazem Ghassan ; Mubeen, Muhammad ; Tariq, Aqil ; Nasim, Wajid ; Majeed, Muhammad ; Almohamad, Hussein ; Al Dughairi, Ahmed Abdullah

Geoscience Letters, 2023-12, Vol.10 (1), p.33-14, Article 33 [Periódico revisado por pares]

Cham: Springer International Publishing

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10
Spatiotemporal dynamics of the vegetation in Ningxia, China using MODIS imagery
Spatiotemporal dynamics of the vegetation in Ningxia, China using MODIS imagery
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Spatiotemporal dynamics of the vegetation in Ningxia, China using MODIS imagery

HE, Yi ; YAN, Haowen ; MA, Lei ; ZHANG, Lifeng ; QIU, Lisha ; YANG, Shuwen

Frontiers of earth science, 2020-03, Vol.14 (1), p.221-235 [Periódico revisado por pares]

Beijing: Higher Education Press

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