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-Reference-Cited by-同舟云学术

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

Published:2024-04-02 Issue:20 Volume:31 Page:28950-28966
ISSN:1614-7499
Container-title:Environmental Science and Pollution Research
language:en
Short-container-title:Environ Sci Pollut Res

Author:

Ali Shahzad,Basit Abdul,Ali Sajid,Umair Muhammad,Makanda Tyan Alice,Shaik Mohammed Rafi,Khan Mujeeb

Funder

Zhejiang Normal University

King Saud University

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11356-024-33112-4.pdf

Reference78 articles.

1. Abbas S, Nichol JE, Qamer FM, Xu J (2014) Characterization of drought development through remote sensing: a case study in central Yunnan, China. Remote Sens 6(6):4998–5018

2. Ali S, Tong D, Xu Z, Henchiri M, Wilson K, Siqi S, Zhang J (2019) Characterization of drought monitoring events through MODIS- and TRMM-based DSI and TVDI over South Asia during 2001–2017. Environ Sci Pollut Res 26:33568–33581

3. Alkama R, Cescatti A (2016) Biophysical climate impacts of recent changes in global forest cover. Science 351(6273):600e604. https://doi.org/10.1126/science.aac8083

4. Allen CD, Macalady AK, Chenchouni H, Bachelet D, McDowell N, Vennetier M, Gonzalez P (2010) A global overview of drought and heat-induced tree mortality reveals emerging climate change risks for forests. For Ecol Manag 259(4):660–684. https://doi.org/10.1016/j.foreco.2009.09.001

5. Amin MO, Jan A, Mehrdada R, Ali M, Reza AS (2011) Drought monitoring methodology based on AVHRR images and SPOT vegetation maps. J Water Resour Prot 3:325–334