Land Degradation Assessment with Earth Observation
Land Degradation Assessment with Earth Observation
- Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
- 1 online resource (368 p.)
Open Access
This Special Issue (SI) on "Land Degradation Assessment with Earth Observation" comprises 17 original research papers with a focus on land degradation in arid, semiarid and dry-subhumid areas (i.e., desertification) in addition to temperate rangelands, grasslands, woodlands and the humid tropics. The studies cover different spatial, spectral and temporal scales and employ a wealth of different optical and radar sensors. Some studies incorporate time-series analysis techniques that assess the general trend of vegetation or the timing and duration of the reduction in biological productivity caused by land degradation. As anticipated from the latest trend in Earth Observation (EO) literature, some studies utilize the cloud-computing infrastructure of Google Earth Engine to cope with the unprecedented volume of data involved in current methodological approaches. This SI clearly demonstrates the ever-increasing relevance of EO technologies when it comes to assessing and monitoring land degradation. With the recently published IPCC Reports informing us of the severe impacts and risks to terrestrial and freshwater ecosystems and the ecosystem services they provide, the EO scientific community has a clear obligation to increase its efforts to address any remaining gaps-some of which have been identified in this SI-and produce highly accurate and relevant land-degradation assessment and monitoring tools.
Creative Commons
English
9783036542270 9783036542287 books978-3-0365-4228-7
10.3390/books978-3-0365-4228-7 doi
Research & information: general
Amu Darya delta (ADD) archetypes arid and semi-arid areas aridity index AVHRR bfast BFAST Botswana breakpoint analysis breakpoints and timeseries analysis browning central Asia developing countries drivers drought drought adaptation drought impacts drought index drought vulnerability Earth observation East Africa ecosystem structural change Gaofen satellite GEE geographically weighted regression (GWR) Google Earth Engine greenhouse gas emissions greening gully mapping high temporal resolution irrigated systems Kenya Kobresia pygmaea community Kyrgyzstan land cover land degradation land degradation neutrality land productivity land surface phenology land use land use-land cover Landsat Landsat time series analysis machine learning Mann-Kendall Mann-Kendall mining development MODIS monitoring and reporting n/a NDVI Niger River basin Nigeria Normalised Difference Vegetation Index (NDVI) pastures precipitation random forest REDD+ reference levels remote sensing remote sensing index RWEQ salinity index salinization salinized land degradation index (SDI) satellite imagery satellite-based aridity index savannah SDG self-organizing maps semi-arid areas semi-arid environment Sen's slope Sentinel-1 Sentinel-2 Sentinel-2 images shrub encroachment slangbos Soil Adjusted Vegetation Index (SAVI) soil organic carbon South Africa spatial distribution spatial heterogeneity spatial-temporal variation standardized precipitation evapotranspiration index support vector machines sustainable land management programmes Synthetic Aperture Radar (SAR) TI-NDVI time series trend analysis Uganda unmanned aerial vehicle Vegetation Condition Index (VCI) vegetation index vegetation resilience vegetation trends vegetation-precipitation relationship wind erosion modeling Xishuangbanna
Open Access
This Special Issue (SI) on "Land Degradation Assessment with Earth Observation" comprises 17 original research papers with a focus on land degradation in arid, semiarid and dry-subhumid areas (i.e., desertification) in addition to temperate rangelands, grasslands, woodlands and the humid tropics. The studies cover different spatial, spectral and temporal scales and employ a wealth of different optical and radar sensors. Some studies incorporate time-series analysis techniques that assess the general trend of vegetation or the timing and duration of the reduction in biological productivity caused by land degradation. As anticipated from the latest trend in Earth Observation (EO) literature, some studies utilize the cloud-computing infrastructure of Google Earth Engine to cope with the unprecedented volume of data involved in current methodological approaches. This SI clearly demonstrates the ever-increasing relevance of EO technologies when it comes to assessing and monitoring land degradation. With the recently published IPCC Reports informing us of the severe impacts and risks to terrestrial and freshwater ecosystems and the ecosystem services they provide, the EO scientific community has a clear obligation to increase its efforts to address any remaining gaps-some of which have been identified in this SI-and produce highly accurate and relevant land-degradation assessment and monitoring tools.
Creative Commons
English
9783036542270 9783036542287 books978-3-0365-4228-7
10.3390/books978-3-0365-4228-7 doi
Research & information: general
Amu Darya delta (ADD) archetypes arid and semi-arid areas aridity index AVHRR bfast BFAST Botswana breakpoint analysis breakpoints and timeseries analysis browning central Asia developing countries drivers drought drought adaptation drought impacts drought index drought vulnerability Earth observation East Africa ecosystem structural change Gaofen satellite GEE geographically weighted regression (GWR) Google Earth Engine greenhouse gas emissions greening gully mapping high temporal resolution irrigated systems Kenya Kobresia pygmaea community Kyrgyzstan land cover land degradation land degradation neutrality land productivity land surface phenology land use land use-land cover Landsat Landsat time series analysis machine learning Mann-Kendall Mann-Kendall mining development MODIS monitoring and reporting n/a NDVI Niger River basin Nigeria Normalised Difference Vegetation Index (NDVI) pastures precipitation random forest REDD+ reference levels remote sensing remote sensing index RWEQ salinity index salinization salinized land degradation index (SDI) satellite imagery satellite-based aridity index savannah SDG self-organizing maps semi-arid areas semi-arid environment Sen's slope Sentinel-1 Sentinel-2 Sentinel-2 images shrub encroachment slangbos Soil Adjusted Vegetation Index (SAVI) soil organic carbon South Africa spatial distribution spatial heterogeneity spatial-temporal variation standardized precipitation evapotranspiration index support vector machines sustainable land management programmes Synthetic Aperture Radar (SAR) TI-NDVI time series trend analysis Uganda unmanned aerial vehicle Vegetation Condition Index (VCI) vegetation index vegetation resilience vegetation trends vegetation-precipitation relationship wind erosion modeling Xishuangbanna