Integrating Time Series Remote Sensing Information in Suitability Analysis for Land Use Planning

Peeling, Julie A.; Singh, Aditya; Judge, Jasmeet; Chen, Changjie

doi:10.1109/igarss46834.2022.9883685

Cited by 2 publications

(1 citation statement)

References 14 publications

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“…Similarly, in its second Research and Action Plan (WRAP 2.0), WASCAL is supporting high-resolution LULC mapping through two projects, namely "greenhouse gas (GHG) emissions and mitigation options under climate and land use change in West Africa concerted regional modeling and assessment (CONCERT WEST AFRICA)" and "land surface processes as a determinant of climate change in Africascenarios, high-resolution modeling and development of a stakeholder data portal (LANDSURF)" [11]. The SERVIR Applied Science Teams have recently supported activities related to future land use scenario development and integration of time series earth observation data for land use planning [12,13]. The diversity of land cover mapping projects in the absence of a harmonized classification system necessitated the establishment of the West Africa Land Cover Task Force (WALC-TF) to moderate land cover mapping and monitoring initiatives in West Africa and ensure the harmonization of disparate legends in the sub-region.…”

Section: Regional and National Land Cover Mapping Initiativesmentioning

confidence: 99%

SERVIR West Africa Land Use and Land Cover Task Force: Building a Collaborative Network to Support Capacity Development in the Harmonization of Land Cover and Land Use Mapping and Monitoring in West Africa

Mensah,

Bartel,

Abramowitz

et al. 2024

Preprint

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The availability of current land cover and land use (LCLU) information for monitoring the status of land resources has considerable value in ensuring sustainable land use planning. Similarly, the need to provide updated information on the extent of LCLU change in West Africa has become apparent, given the increasing demand for land resources driven by the rapid population growth in the sub-region. SERVIR West Africa, a regional consortium jointly supported by USAID and NASA to foster the use of geospatial and earth observation data and science for decision-making on critical environmental and food security challenges, in collaboration with the Food and Agriculture Organization of the United Nations (FAO), is building technical capacity in the sub-region to develop and implement harmonized regional land cover classification system for LULC change monitoring in West Africa, based on the Land Cover Meta Language (LCML-ISO 19144-2). This article focuses on the process, potential opportunities, outputs of this collaboration, exemplary use cases, and recommendations for the next steps.

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Section: Regional and National Land Cover Mapping Initiativesmentioning

confidence: 99%

SERVIR West Africa Land Use and Land Cover Task Force: Building a Collaborative Network to Support Capacity Development in the Harmonization of Land Cover and Land Use Mapping and Monitoring in West Africa

Mensah,

Bartel,

Abramowitz

et al. 2024

Preprint

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Land Cover Mapping in West Africa: A Collaborative Process

Mensah,

Mushtaq,

Bartel

et al. 2024

Land

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The availability of current land cover and land use (LCLU) information for monitoring the status of land resources has considerable value in ensuring sustainable land use planning and development. Similarly, the need to provide updated information on the extent of LCLU change in West Africa has become apparent, given the increasing demand for land resources driven by rapid population growth. Over the past decade, multiple projects have been undertaken to produce regional and national land cover maps. However, using different classification systems and legends has made updating and sharing land cover information challenging. This has resulted in the inefficient use of human and financial resources. The development of the Land Cover Meta Language (LCML) based on International Organization for Standardization (ISO) standards offers an opportunity to create a standardized classification system. This system would enable easier integration of regional and national data, efficient management of information, and better resource utilization in West Africa. This article emphasizes the process and the need for multistakeholder collaboration in developing a standardized land cover classification system for West Africa, which is currently nonexistent. It presents the survey data collected to evaluate historical, current, and future land cover mapping projects in the region and provides relevant use cases as examples for operationalizing a standardized land cover classification legend for West Africa.

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Integrating Time Series Remote Sensing Information in Suitability Analysis for Land Use Planning

Cited by 2 publications

References 14 publications

SERVIR West Africa Land Use and Land Cover Task Force: Building a Collaborative Network to Support Capacity Development in the Harmonization of Land Cover and Land Use Mapping and Monitoring in West Africa

SERVIR West Africa Land Use and Land Cover Task Force: Building a Collaborative Network to Support Capacity Development in the Harmonization of Land Cover and Land Use Mapping and Monitoring in West Africa

Land Cover Mapping in West Africa: A Collaborative Process

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