Global Land-Cover Change: Recent Progress, Remaining Challenges

Ramankutty, Navin; Graumlich, Lisa J.; Achard, Frédéric; Alves, Diógenes Salas; Chhabra, Abha; DeFries, Ruth; Foley, Jonathan A.; Geist, Helmut; Houghton, Richard A.; Goldewijk, Kees Klein; Lambin, Éric F.; Millington, Andrew; Rasmussen, Kjeld; Reid, Robin S.; Turner, B. L.

doi:10.1007/3-540-32202-7_2

Cited by 112 publications

(75 citation statements)

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“…4 5 6 Gain to persistence 5 6 = 0 * 9 :3 5 6 -exceeding 1 indicate that the land cover class under consideration has a higher tendency to gain from other land classes than persist Eq.5 ; 6 Loss to persistence ; 6 = 4 * 9 :3 ; 6 exceeding 1 indicates that the land cover class under consideration has a higher tendency to lose to other land classes than persist Eq.6 < 6 Net persistence < 6 = 5 6 − ; 6 < 6 negative indicates that the land class has a higher tendency to lose area to other cover types, than to gain from them.…”

Section: Transition and Vulnerability To Transitionmentioning

confidence: 99%

“…There are intrinsic links between human and natural systems in shaping these changes. The nature of these links is often simplified in vicious linear cycles, and Rasmussen et al [5] highlighted that the functioning and directions are very complex and require considerations of recovery and adaptation (system adjustments) combined with significant feedback on most degradation processes in semi-arid ecosystems [6,7]. Importance of the local land use and its implication for wider regional-and global-scale climate has been recognized in the IPCC AR5 report [8], but little evidence has been given on the epistemic categories of land architecture (the significance of spatial configurations) and their transition due to multiple overlapping drivers.…”

Section: Introductionmentioning

confidence: 99%

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Transitions in Land Use Architecture under Multiple Human Driving Forces in a Semi-Arid Zone

Ouédraogo

Mbow

Balinga³

et al. 2015

Land

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Abstract:The present study aimed to detect the main shifts in land-use architecture and assess the factors behind the changes in typical tropical semi-arid land in Burkina Faso. Three sets of time-series LANDSAT data over a 23-year period were used to detect land use changes and their underpinning drivers in multifunctional but vulnerable ecologies. Group discussions in selected villages were organized for mapping output interpretation and collection of essential drivers of change as perceived by local populations. Results revealed profound changes and transitions during the study period. During the last decade, shrub and wood savannahs exhibited high net changes (39% and −37% respectively) with a weak net positive change for cropland (only 2%,) while cropland and shrub savannah exhibited high swap (8% and 16%). This suggests that the area of cropland remained almost unchanged but was subject to relocation, wood savannah decreased drastically, and shrub savannah increased exponentially. Cropland exhibited a null net persistence while shrub and wood savannahs exhibited positive and negative net persistence (1.91 and −10.24), respectively, indicating that there is movement toward agricultural intensification and wood savannah tended to disappear to the benefit of shrub savannah. Local people are aware of the changes that have occurred and support the idea that illegal wood cutting and farming are inappropriate farming practices associated with immigration; absence of alternative cash generation sources, overgrazing and increasing demand for wood energy are driving the changes in their ecosystems. Policies that integrate restoration and conservation of natural OPEN ACCESSLand 2015, 4 561 ecosystems and promote sustainable agroforestry practices in the study zone are highly recommended.

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Section: Transition and Vulnerability To Transitionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Transitions in Land Use Architecture under Multiple Human Driving Forces in a Semi-Arid Zone

Ouédraogo

Mbow

Balinga³

et al. 2015

Land

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“…This expansion is mainly due to high population growth (especially in developing countries) and the need to grow more food to meet the rising food demand. Accurate and up-to-date information on agricultural land use is essential to appropriately monitor these changes and assess their impacts on water and soil quality, biodiversity and other environmental factors at various scales [2][3][4]. This is particularly important considering the looming effects of climate change and variability.…”

Section: Introductionmentioning

confidence: 99%

Integration of Optical and Synthetic Aperture Radar Imagery for Improving Crop Mapping in Northwestern Benin, West Africa

et al. 2014

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Crop mapping in West Africa is challenging, due to the unavailability of adequate satellite images (as a result of excessive cloud cover), small agricultural fields and a heterogeneous landscape. To address this challenge, we integrated high spatial resolution multi-temporal optical (RapidEye) and dual polarized (VV/VH) SAR (TerraSAR-X) data to map crops and crop groups in northwestern Benin using the random forest classification algorithm. The overall goal was to ascertain the contribution of the SAR data to crop mapping in the region. A per-pixel classification result was overlaid with vector field boundaries derived from image segmentation, and a crop type was determined for each field based on the modal class within the field. A per-field accuracy assessment was conducted by comparing the final classification result with reference data derived from a field campaign. Results indicate that the integration of RapidEye and TerraSAR-X data improved classification accuracy by 10%-15% over the use of RapidEye only. The VV polarization was found to better discriminate crop types than the VH polarization. The research has shown that if optical and SAR data are available for the whole cropping season, classification accuracies of up to 75% are achievable.

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“…Humans profit from land use because different goods are provided from ecosystems, e.g., food, freshwater, timber and fiber [1][2][3][4]. The intensity of human land use increased rapidly in the twentieth century [1,5].…”

Section: Introductionmentioning

confidence: 99%

Multi-Temporal Land-Cover Classification of Agricultural Areas in Two European Regions with High Resolution Spotlight TerraSAR-X Data

Bargiel

Herrmann

2011

Remote Sensing

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Functioning ecosystems offer multiple services for human well-being (e.g., food, freshwater, fiber). Agriculture provides several of these services but also can cause negative impacts. Thus, it is essential to derive up-to-date information about agricultural land use and its change. This paper describes the multi-temporal classification of agricultural land use based on high resolution spotlight TerraSAR-X images. A stack of l4 dual-polarized radar images taken during the vegetation season have been used for two different study areas (North of Germany and Southeast Poland). They represent extremely diverse regions with regard to their population density, agricultural management, as well as geological and geomorphological conditions. Thereby, the transferability of the classification method for different regions is tested. The Maximum Likelihood classification is based on a high amount of ground truth samples. Classification accuracies differ in both regions. Overall accuracy for all classes for the German area is 61.78% and 39.25% for the Polish region. Accuracies improved notably for both regions (about 90%) when single vegetation classes were merged into groups of classes. Such regular land use classifications, applicable for different European agricultural sites, can serve as basis for monitoring systems for agricultural land use and its related ecosystems.

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Global Land-Cover Change: Recent Progress, Remaining Challenges

Cited by 112 publications

References 0 publications

Transitions in Land Use Architecture under Multiple Human Driving Forces in a Semi-Arid Zone

Transitions in Land Use Architecture under Multiple Human Driving Forces in a Semi-Arid Zone

Integration of Optical and Synthetic Aperture Radar Imagery for Improving Crop Mapping in Northwestern Benin, West Africa

Multi-Temporal Land-Cover Classification of Agricultural Areas in Two European Regions with High Resolution Spotlight TerraSAR-X Data

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