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Land cover data is widely used for the design and monitoring of land use policies despite the incapability of this type of data to represent multiple land uses and land management activities within the same landscape.
We highlight the advances in the conceptualization, analysis and monitoring of land systems.
These changes in land use influence local biodiversity patterns and require annual monitoring of land cover.
We focussed on the assessment and monitoring of land change processes using two scales of remote sensing data.
Here we assess the potential for citizen scientists to contribute to the long-term monitoring of land cover, land use and habitat change through ongoing field data collection.
The monitoring of land surface processes will greatly benefit from this type of data if biophysical variables such as Leaf Area Index (LAI) can be retrieved from it.
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In this article, we suggest that the analysis and monitoring of land-use intensity should follow an integrative conceptual framework that focuses on three dimensions of land-use intensity: inputs to the land, outputs from the land, and the human-induced, but unintended outcomes of land-use intensification that are best measured at the system level.
Finally, leading monitoring agents of land administration and registration were identified with a discussion of their prospective future role in monitoring.
Overall, the findings of this research underlines the importance and efficacy of multispectral Landsat series data-set in mapping and monitoring levels of land degradation in data-scarce catchments.
While acknowledging the limitations of techniques used, this study demonstrates in part the effectiveness of sedimentation modelling and remote sensing as a tool for the production of baseline data for assessment and monitoring levels of land degradation in the Malilangwe reservoir catchment.
Shorter wavelength corresponds to relatively higher observation sensibility to ground movements, resulting in more precise monitoring of the land subsidence.
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