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Trends in global vegetative drought from long-term satellite remote sensing data

Zhanya Xu, Leiyu Cao, Shaobo Zhong, Geng Liu, Yongsheng Yang, Shuang Zhu, Xiangang Luo, Liping Di
2020 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
in this article, the trends in global vegetative drought were investigated using MODIS-and AVHRR-based NDVI products.  ...  From the results, it was concluded that: AVHRR has longer-term records that provide a critical historical perspective on vegetation activities necessary for global change research, and continuity and correctness  ...  The long-term remotely sensed data from AVHRR (from 1981 to 2019) were used to investigate the global trend of vegetative drought.  ... 
doi:10.1109/jstars.2020.2972574 fatcat:5lp6z7xz6zbopktdoeqcvmmq2i

The global pattern and development trends & directions on the drought monitoring research from 1983 to 2020 by using bibliometric analysis

Jianshun Wang, Qiang Zhang, Liang Zhang, Ying Wang, Ping Yue, Yanbin Hu, Peilong Ye
2022 Bulletin of The American Meteorological Society - (BAMS)  
In this study, the global pattern and development trends & directions on drought monitoring were presented based on Web of Science database by conducting a bibliometric analysis from 1983 to 2020.  ...  in local citations, respectively. (2) Chinese Academy of Science was reported as the core institution with 5.73% publication outputs and 829 local citations. (3) Remote Sensing of Environment and Remote  ...  ", "vegetation index", "satellite", and "products", focuses on the utilization of satellite remote sensing vegetation index, such as MODIS NDVI, to assess the response of vegetation to meteorological drought  ... 
doi:10.1175/bams-d-21-0324.1 fatcat:kbylybbhfjabfeb3lvaewkqmdq

Validation and Application of the Modified Satellite-Based Priestley-Taylor Algorithm for Mapping Terrestrial Evapotranspiration

Yunjun Yao, Shunlin Liang, Shaohua Zhao, Yuhu Zhang, Qiming Qin, Jie Cheng, Kun Jia, Xianhong Xie, Nannan Zhang, Meng Liu
2014 Remote Sensing  
The MS-PT algorithm is then applied to detect the variations of long-term terrestrial LE over Three-North Shelter Forest Region of China and to monitor global land surface drought.  ...  Satellite-based vegetation indices (VIs) and Apparent Thermal Inertia (ATI) derived from temperature change provide valuable information for estimating evapotranspiration (LE) and detecting the onset and  ...  GIMMIS NDVI products were obtained from National Oceanic and Atmospheric Administration (NOAA)/AVHRR observations (  ... 
doi:10.3390/rs6010880 fatcat:xxyhmwekvjaollstjxkd3hu6oy

Remote sensing of drought: Progress, challenges and opportunities

A. AghaKouchak, A. Farahmand, F. S. Melton, J. Teixeira, M. C. Anderson, B. D. Wardlow, C. R. Hain
2015 Reviews of Geophysics  
This review surveys current and emerging drought monitoring approaches using satellite remote sensing observations from climatological and ecosystem perspectives.  ...  Satellite remote sensing of the Earth's weather began in earnest with the Television and Infrared Observation Satellite (TIROS-1) mission in 1960 [NASA, 1987].  ...  Progress in Remote Sensing of Drought From an Ecological Perspective Drought can be assessed based on observed changes in vegetation health and land cover from remotely sensed data Silleos et al., 2006  ... 
doi:10.1002/2014rg000456 fatcat:uppjpf7vr5cs7brh6v7oylny44

Knowledge Discovery from Satellite Images for Drought Monitoring in Food Insecure Areas

Solomon Atnafu, Getachew Berhan
2010 Americas Conference on Information Systems  
For this research, satellite data from MSG and NOAA AVHRR were used. The preliminary results confirmed that real time MSG satellite data can be used for monitoring drought in food insecure areas.  ...  from satellite imageries for real time drought monitoring in food insecure areas, and 3) validate and calibrate the new approach for national and regional applications.  ...  Presently, NDVI is used as a primary source of data in remote sensing based drought monitoring.  ... 
dblp:conf/amcis/AtnafuB10 fatcat:ghiognvuprbatkxajel67xeg5y

Recent trends in vegetation dynamics in the African Sahel and their relationship to climate

Stefanie M. Herrmann, Assaf Anyamba, Compton J. Tucker
2005 Global Environmental Change  
as a recovery from the great Sahelian droughts.  ...  climate trend. r (S.M.  ...  While short-term impacts such as pests can cause rainfall-independent deviations of the NDVI in individual years, long-term trends are more likely to be induced by human factors, such as changes in land  ... 
doi:10.1016/j.gloenvcha.2005.08.004 fatcat:747boicd4faq5cbfqvy3avyifa

Applying tipping point theory to remote sensing science to improve early warning drought signals for food security

P. Krishna Krishnamurthy, Joshua B. Fisher, David S. Schimel, Peter M. Kareiva
2020 Earth's Future  
We examine recent advances in remote sensing technology, focusing on the latency, historical availability and spatial and temporal scales of the data these satellites provide.  ...  Because of their global coverage, seven variables derived from satellite observations emerge as especially pertinent to drought and famine: precipitation (TRMM/GPM), groundwater (GRACE/GRACE-FO), snow  ...  PKKR was supported, in part, by SURP and funding from UCLA's Institute of the Environment and Sustainability (IoES). JBF was supported, in part by NASA SUSMAP, INCA, GRACE, IDS, and ECOSTRESS.  ... 
doi:10.1029/2019ef001456 fatcat:7lvistwmsjdfzepituyzu6cmxa

Harnessing Earth Observation and Satellite Information for Monitoring Desertification, Drought and Agricultural Activities in Developing Countries [chapter]

Humberto Barbosa, Carolien Tote, Lakshmi Kumar, Yazidhi Bamutaze
2013 Environmental Change and Sustainability  
Based on the expertise, experience and interest of a regional network of scientists from Uganda, Brazil, India, and Europe, the chapter focuses on harnessing satellite remote sensing resources and products  ...  The chapter is based on four case studies from Africa, South America, India and Europe to demonstrate the utility of satellite imagery data obtained from free or low cost platforms in providing information  ...  There are two main inputs i.e. production data and remotely sensed data. Production data was obtained online from the FAOSTAT [55] .  ... 
doi:10.5772/55499 fatcat:zaomfd5lu5hypgea7gta5ld2vq

Desertification in the Sahel: a reinterpretation

2006 Global Change Biology  
In this paper, we show the importance of the variability in RUE for the analysis of remote sensing imagery of semiarid rangelands.  ...  Because of the upward trend in annual rainfall that occurred during the 1980s and 1990s, this leads to a bias in the interpretation of the satellite images.  ...  droughts of the last decades of the 20th century is a lack of evidence of degradation from remote sensing data.  ... 
doi:10.1111/j.1365-2486.2006.01135.x fatcat:nf76fkmm2rgi5keq62to3cssli

The Ongoing Greening in Southwest China despite Severe Droughts and Drying Trends

Xin Chen, Tiexi Chen, Qingyun Yan, Jiangtao Cai, Renjie Guo, Miaoni Gao, Xueqiong Wei, Shengjie Zhou, Chaofan Li, Yong Xie
2021 Remote Sensing  
–2012 only leveled off the greening (increasing in vegetation indices and GPP) temporally and long-term greening was maintained.  ...  Using the latest remote sensing-based records, including leaf area index (LAI) and gross primary productivity (GPP) for 1982–2016 and enhanced vegetation index (EVI) for 2001–2019, drought events of 2009  ...  In recent years, as indicated by remote sensing observations, the positive trends of vegetation indices over decades-known as greening-has been widely reported, from the regional to global scale [4] [  ... 
doi:10.3390/rs13173374 fatcat:fgt5ukbi5jcihnvugeqr6v3j3i

Assessing Terrestrial Ecosystem Resilience using Satellite Leaf Area Index

Wu, Liang
2020 Remote Sensing  
This study demonstrates that remote sensing data are effective for monitoring terrestrial resilience for global ecosystem assessment.  ...  In this study, we assessed global terrestrial ecosystem resilience based on the long time-series GLASS LAI product and GIMMS AVHRR LAI 3g product, and validated the results using drought and fire events  ...  Materials and Methods Remote Sensing Data The Global LAnd Surface Satellite (GLASS) LAI dataset with Advanced Very High-Resolution Radiometer (AVHRR) reflectance data, acquired from the Beijing Normal  ... 
doi:10.3390/rs12040595 fatcat:sbrqf34sajd63ljnitm7ufggge

What Four Decades of Earth Observation Tell Us about Land Degradation in the Sahel?

Cheikh Mbow, Martin Brandt, Issa Ouedraogo, Jan de Leeuw, Michael Marshall
2015 Remote Sensing  
Acknowledgments This work has been funded by the BIODEV project implemented in Burkina Faso and Sierra Leone and the CG Research Programme CRP 6.3 and 6.4 on Forest trees and agroforestry/Ecosystem Services  ...  [52] to harness long-term connection of satellite observations with field data on vegetation diversity and productivity. 2.  ...  The most used products among those are Global Inventory Modeling and Mapping Studies (GIMMS) [44] and Long Term Data Record (LTDR) [45] and now GIMMS-3g datasets.  ... 
doi:10.3390/rs70404048 fatcat:k7jvhjh4cnaf7ammcgkuhklf3a

Global vegetation biomass change (1988-2008) and attribution to environmental and human drivers

Yi Y. Liu, Albert I. J. M. van Dijk, Matthew F. McCabe, Jason P. Evans, Richard A. M. de Jeu
2012 Global Ecology and Biogeography  
VOD is distinct from optical vegetation remote sensing data such as the normalized difference vegetation index in that it is: (a) less prone to saturation in dense canopies; (b) sensitive to both photosynthetic  ...  Main conclusions Passive microwave remote sensing of VOD can be used to monitor global changes in total aboveground vegetation water content and biomass over various land-cover types.  ...  ACKNOWLEDGEMENTS This work was supported by a University International Postgraduate Award (UIPA) from the University of New South Wales and a top-up scholarship from the CSIRO Water for a Healthy Country  ... 
doi:10.1111/geb.12024 fatcat:ssqvzytol5fn5jvip7uoi2ldxe

Developing a Global Data Record of Daily Landscape Freeze/Thaw Status Using Satellite Passive Microwave Remote Sensing

Youngwook Kim, John S. Kimball, Kyle C. McDonald, Joseph Glassy
2011 IEEE Transactions on Geoscience and Remote Sensing  
• The F/T record shows significant (P<0.001) long-term trends in non-frozen period (0.189 days yr -1 ), largely driven by earlier onset of spring thaw (-0.149 days yr -1 ) & general delay in the arrival  ...  F /T classification accuracy is assessed from in situ daily air temperature data from global weather stations.  ... 
doi:10.1109/tgrs.2010.2070515 fatcat:gqwoqhu4gvebbg67445hcbttqq


B. Sun, J. Qian, X. Chen, Q. Zhou
2020 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Compared with annual statistics of agricultural product yield, remote sensing drought index better reflects the long-term change of agricultural drought in Kazakhstan.  ...  In addition, the effectiveness of remote sensing indices in agricultural drought monitoring is assessed according to agricultural product yield data from the past 15 years (2004–2018).  ...  The change pattern of remote sensing index (i.e., VSWI-EVI) shows a great consistency with total grain yield in terms of change trend.  ... 
doi:10.5194/isprs-archives-xliii-b3-2020-899-2020 fatcat:zhpbb4begfccve6igbnj6owge4
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