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1. Library Resource

   

   Climate financing needs in the land sector under the Paris Agreement: An assessment of developing country perspectives

   Land Use Policy Volume 83

   Peer-reviewed publication

   April, 2019

   Brazil, Canada, France, Indonesia, United States of America

   Land, Climate Change & Environment

   assessment

   climate change

   land use

   research

   This paper explores the potential of climate finance to support developing country efforts to shift away from unsustainable land use patterns in the context of the 2015 Paris Climate Agreement. We pursue two research objectives here. Through a meta-analysis of 40 developing country Nationally Determined Contributions (NDCs), we provide, first, a comprehensive qualitative overview of developing country perspectives on climate financing needs for mitigation and adaptation activities in the land use, land-use change and forestry sectors (LULUCF).

2. Library Resource

   

   Improving environmental management of extractives through Environmental Impact Assessments

   January, 2013

   Chile, Peru, Colombia, Ecuador, Bolivia, Argentina, Venezuela, Mexico, Brazil, Latin America and the Caribbean

   Land, Climate Change & Environment

   mining

   land use

   environment

   extractive industries

   assessment

   How have Latin American countries been using Environmental Impact Assessments in order to build more sustainable extractive industries? A focus on Peru provides some interesting lessons.

   Is it possible to develop extractive industries while preserving the environment? Several Latin American countries have been attempting to improve the environmental sustainability of their extractive industry sectors by developing their legal frameworks, in particular through the use and adaptation of the Environmental Impact Assessment (EIA) tool.

3. Library Resource

   

   Maximum Fraction Images Derived from Year-Based Project for On-Board Autonomy-Vegetation (PROBA-V) Data for the Rapid Assessment of Land Use and Land Cover Areas in Mato Grosso State, Brazil

   Volume 9 Issue 5

   Peer-reviewed publication

   May, 2020

   Brazil, Norway, United States of America

   Land, Climate Change & Environment

   assessment

   land cover

   land use

   This paper presents a new approach for rapidly assessing the extent of land use and land cover (LULC) areas in Mato Grosso state, Brazil. The novel idea is the use of an annual time series of fraction images derived from the linear spectral mixing model (LSMM) instead of original bands. The LSMM was applied to the Project for On-Board Autonomy-Vegetation (PROBA-V) 100-m data composites from 2015 (~73 scenes/year, cloud-free images, in theory), generating vegetation, soil, and shade fraction images. These fraction images highlight the LULC components inside the pixels.