Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
Using geospatial data to identify land grabbing. Detecting spatial reconfigurations during the implementation of the Nacala Development Corridor in Mozambique with remote sensing and land conflicts databases
by
Gellert Paris, Ricardo
, Rienow, Andreas
in
Africa
/ Agriculture
/ Algorithms
/ development corridor
/ development policies
/ Environmental justice
/ Infrastructure
/ Investments
/ Land cover
/ Land grabbing
/ Land use
/ Landsat
/ MODIS
/ Policies
/ Remote sensing
/ Satellite imagery
/ Spatial analysis
/ Spatial data
2023
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Using geospatial data to identify land grabbing. Detecting spatial reconfigurations during the implementation of the Nacala Development Corridor in Mozambique with remote sensing and land conflicts databases
by
Gellert Paris, Ricardo
, Rienow, Andreas
in
Africa
/ Agriculture
/ Algorithms
/ development corridor
/ development policies
/ Environmental justice
/ Infrastructure
/ Investments
/ Land cover
/ Land grabbing
/ Land use
/ Landsat
/ MODIS
/ Policies
/ Remote sensing
/ Satellite imagery
/ Spatial analysis
/ Spatial data
2023
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Using geospatial data to identify land grabbing. Detecting spatial reconfigurations during the implementation of the Nacala Development Corridor in Mozambique with remote sensing and land conflicts databases
by
Gellert Paris, Ricardo
, Rienow, Andreas
in
Africa
/ Agriculture
/ Algorithms
/ development corridor
/ development policies
/ Environmental justice
/ Infrastructure
/ Investments
/ Land cover
/ Land grabbing
/ Land use
/ Landsat
/ MODIS
/ Policies
/ Remote sensing
/ Satellite imagery
/ Spatial analysis
/ Spatial data
2023
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Using geospatial data to identify land grabbing. Detecting spatial reconfigurations during the implementation of the Nacala Development Corridor in Mozambique with remote sensing and land conflicts databases
Journal Article
Using geospatial data to identify land grabbing. Detecting spatial reconfigurations during the implementation of the Nacala Development Corridor in Mozambique with remote sensing and land conflicts databases
2023
Request Book From Autostore
and Choose the Collection Method
Overview
The contemporary food system pushes agriculture to a globalized value-chain, affecting landscapes, resource access, and institutional arrangements. Institutions operating in Africa adopt development corridors to integrate multisector investments and induce export-driven primary sector, leading to massive land deals, also known as land-grabbing. Organizations struggle to monitor land deals accurately, lacking spatial precision and contextual information for affected communities. This research examines Mozambique's Nacala Corridor, using geospatial data as a tool to detect spatial (re)configurations due to exported-oriented policies and infrastructure. Data from land conflicts databases (Land Matrix and Environmental Justice) were analyzed with remote sensing Landsat and MODIS imagery using multiple indexes, an EVI time series, and the application of the LandTrendr algorithm. The results show that the temporal and spatial analysis of remote-sensing data is in line with the major political and economic dynamics of the region. Hotspots of land cover changes were detected in the same areas where land grabbing were reported; however, reported and detected land areas did not coincide. Temporal analysis showed that institutional changes played a greater role in triggering land use changes than infrastructure implementation. We conclude that land cover modifications, conflicts, and spatial development initiatives follows policies and institutional arrangements targeting international investments.
Publisher
Taylor & Francis,Taylor & Francis Ltd,Taylor & Francis Group
Subject
This website uses cookies to ensure you get the best experience on our website.