RELATIONSHIPS BETWEEN LAND DEGRADATION AND CLIMATE CHANGE VULNERABILITY OF AGRICULTURAL WATER RESOURCES

被引:1
作者
Kussul, N. [1 ,2 ]
Shumilo, L. [1 ,2 ]
Garanis, L. [1 ,3 ]
机构
[1] Space Res Inst NASU SSAU, Kiev, Ukraine
[2] Natl Tech Univ Ukraine, Igor Sikorsky Kiev Polytech Inst, Kiev, Ukraine
[3] Univ Geneva, Geneva, Switzerland
来源
2021 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM IGARSS | 2021年
基金
新加坡国家研究基金会;
关键词
SDG; land degradation; Trends.earth; SWAT; climate change;
D O I
10.1109/IGARSS47720.2021.9553489
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
According to the methodology for determining land degradation adopted by the UN for the calculation of the sustainable development goal's (SDG) indicator 15.3.1, land productivity on the basis of remote sensing data is one of the three sub-indicators. At the same time, the process of land degradation is very complex and it has not yet been studied how it is affected by climate changes. This task is complicated by the fact that climate change has consequences in the future. However, satellite data have a long history of observations and therefore we can see, how climate indicators affect the process of land degradation in historical terms. In this paper, we used MODIS satellite data to calculate land productivity and estimated the relationship between land productivity and climate change vulnerability of agricultural water resources (CCV) obtained by SWAT model for Ukraine. Correlation and regression analysis show that the climate change vulnerability of agricultural water resources is one of the indicators of land degradation.
引用
收藏
页码:747 / 750
页数:4
相关论文
共 19 条
[1]   Climate change and agricultural water resources: A vulnerability assessment of the Black Sea catchment [J].
Baer, R. ;
Rouholahnedjad, E. ;
Rahman, K. ;
Abbaspour, K. C. ;
Lehmann, A. .
ENVIRONMENTAL SCIENCE & POLICY, 2015, 46 :57-69
[2]  
Bai Z.G., 2008, GLOBAL ASSESSMENT LA
[3]   The Harmonized Landsat and Sentinel-2 surface reflectance data set [J].
Claverie, Martin ;
Ju, Junchang ;
Masek, Jeffrey G. ;
Dungan, Jennifer L. ;
Vermote, Eric F. ;
Roger, Jean-Claude ;
Skakun, Sergii V. ;
Justice, Christopher .
REMOTE SENSING OF ENVIRONMENT, 2018, 219 :145-161
[4]  
EnviroGRIDS, US
[5]   Monitoring land degradation at national level using satellite Earth Observation time-series data to support SDG15-exploring the potential of data cube [J].
Giuliani, Gregory ;
Chatenoux, Bruno ;
Benvenuti, Antonio ;
Lacroix, Pierre ;
Santoro, Mattia ;
Mazzetti, Paolo .
BIG EARTH DATA, 2020, 4 (01) :3-22
[6]   Knowledge generation using satellite earth observations to support sustainable development goals (SDG): A use case on Land degradation [J].
Giuliani, Gregory ;
Mazzetti, Paolo ;
Santoro, Mattia ;
Nativi, Stefano ;
Van Bemmelen, Joost ;
Colangeli, Guido ;
Lehmann, Anthony .
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2020, 88
[7]  
Kolotii A., 2015, INT ARCH PHOTOGRAMME
[8]   Water resource quality monitoring using heterogeneous data and high-performance computations [J].
Kravchenko A.N. ;
Kussul N.N. ;
Lupian E.A. ;
Savorsky V.P. ;
Hluchy L. ;
Shelestov A.Yu. .
Cybernetics and Systems Analysis, 2008, 44 (04) :616-624
[9]   A workflow for Sustainable Development Goals indicators assessment based on high-resolution satellite data [J].
Kussul, Nataliia ;
Lavreniuk, Mykola ;
Kolotii, Andrii ;
Skakun, Sergii ;
Rakoid, Olena ;
Shumilo, Leonid .
INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2020, 13 (02) :309-321
[10]   Crop inventory at regional scale in Ukraine: developing in season and end of season crop maps with multi-temporal optical and SAR satellite imagery [J].
Kussul, Nataliia ;
Mykola, Lavreniuk ;
Shelestov, Andrii ;
Skakun, Sergii .
EUROPEAN JOURNAL OF REMOTE SENSING, 2018, 51 (01) :627-636