@techreport{fdi:010078598,
  title = {{U}sing publicly available remote sensing products to evaluate {REDD}+ projects in {B}razil},
  author = {{D}emarchi, {G}. and {S}ubervie, {J}. and {C}atry, {T}hibault and {T}risch, {I}.},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he perpetuity and improvement of {REDD}+ projects for curbing deforestation require rigorous impact evaluations of the effectiveness of existing on-the-ground interventions. {T}oday, a number of global and regional remote sensing ({RS}) products are publicly available for detecting changes in forest cover worldwide. {I}n this study, we assess the suitability of using these readily available products to evaluate the impact of {REDD}+ local projects targeting smallholders (owning plots of less than 100 ha) in the {B}razilian {A}mazon. {F}irstly, we reconstruct forest loss for the period between 2008 and 2017 of 17,066 farms located in the {T}ransamazonian region, using data derived from two landcover change datasets: {G}lobal {F}orest {C}hange ({GFC}) and {A}mazon {D}eforestation {M}onitoring {P}roject ({PRODES}). {S}econdly, we evaluate the consistency between the two sources of data. {L}astly, we estimate the long-term impact of a {REDD}Å project using both {RS} products. {R}esults suggest that the deforestation estimates from the two data-sets are statistically different and that {GFC} detects systematically higher rates of deforestation than {PRODES}. {H}owever, we estimate that an average of about 2 ha of forest were saved on each participating farm during the first years of the program regardless the source of data. {T}hese results suggest that these products may not be suitable for accurately monitoring and measuring deforestation at the farm-level, but they can be a useful source of data on impact assessment of forest conservation projects.},
  keywords = {{GESTION} {DE} {L}'{ENVIRONNEMENT} ; {DEFORESTATION} ; {CARBONE} ; {TELEDETECTION} {SPATIALE} ; {SURVEILLANCE} ; {EVALUATION} ; {PROJET} {DE} {RECHERCHE} ; {BRESIL} ; {AMAZONIE}},
  address = {{M}ontpellier},
  publisher = {{CEE}},
  series = {{W}orking {P}apers - {CEE}-{M}},
  pages = {19  multigr.},
  year = {2020},
  URL = {https://www.documentation.ird.fr/hor/fdi:010078598},
}