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020 _a9783319241128
_9978-3-319-24112-8
024 7 _a10.1007/978-3-319-24112-8
_2doi
035 _ato000560816
040 _aSpringer
_cSpringer
_dRU-ToGU
050 4 _aGA102.4.R44
050 4 _aG70.39-70.6
072 7 _aRGW
_2bicssc
072 7 _aTEC036000
_2bisacsh
082 0 4 _a910.285
_223
100 1 _aYengoh, Genesis T.
_eauthor.
_9468212
245 1 0 _aUse of the Normalized Difference Vegetation Index (NDVI) to Assess Land Degradation at Multiple Scales
_helectronic resource
_bCurrent Status, Future Trends, and Practical Considerations /
_cby Genesis T. Yengoh, David Dent, Lennart Olsson, Anna E. Tengberg, Compton J. Tucker III.
250 _a1st ed. 2015.
260 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2015.
300 _aXX, 110 p. 33 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 1 _aSpringerBriefs in Environmental Science,
_x2191-5547
505 0 _aIntroduction -- The potential for assessment of land degradation by remote sensing -- Applications of NDVI for land degradation assessment -- Limits to the use of NDVI in land degradation assessment -- Key issues in the use of NDVI for land degradation assessment -- Development of land degradation assessments -- Experts’ opinions on the use of NDVI for land degradation assessment -- Main global NDVI datasets and databases, and software -- Country-level use of satellite products to detect and map land degradation processes -- Challenges to the use of NDVI in land degradation assessments -- Recommendations for future application of NDVI -- Conclusion -- Appendices.
520 _aThis report examines the scientific basis for the use of remotely sensed data, particularly Normalized Difference Vegetation Index (NDVI), primarily for the assessment of land degradation at different scales and for a range of applications, including resilience of agro-ecosystems. Evidence is drawn from a wide range of investigations, primarily from the scientific peer-reviewed literature but also non-journal sources. The literature review has been corroborated by interviews with leading specialists in the field. The report reviews the use of NDVI for a range of themes related to land degradation, including land cover change, drought monitoring and early warning systems, desertification processes, greening trends, soil erosion and salinization, vegetation burning and recovery after fire, biodiversity loss, and soil carbon. This SpringerBrief also discusses the limits of the use of NDVI for land degradation assessment and potential for future directions of use. A substantial body of peer-reviewed research lends unequivocal support for the use of coarse-resolution time series of NDVI data for studying vegetation dynamics at global, continental and sub-continental levels. There is compelling evidence that these data are highly correlated with biophysically meaningful vegetation characteristics such as photosynthetic capacity and primary production that are closely related to land degradation and to agroecosystem resilience.
650 0 _ageography.
_9566247
650 0 _aRemote sensing.
_9294356
650 0 _aEnvironmental geography.
_9567491
650 1 4 _aGeography.
_9566415
650 2 4 _aRemote Sensing/Photogrammetry.
_9294360
650 2 4 _aEnvironmental Monitoring/Analysis.
_9306739
650 2 4 _aEnvironmental Geography.
_9567492
700 1 _aDent, David.
_eauthor.
_9455741
700 1 _aOlsson, Lennart.
_eauthor.
_9468213
700 1 _aTengberg, Anna E.
_eauthor.
_9468214
700 1 _aTucker III, Compton J.
_eauthor.
_9468215
710 2 _aSpringerLink (Online service)
_9143950
773 0 _tSpringer eBooks
830 0 _aSpringerBriefs in Environmental Science,
_9412197
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-24112-8
912 _aZDB-2-EES
999 _c415657