@Article{AlmeidaSMSGMLSBCBBQBPS:2022:PiPr,
               author = "Almeida, Claudio Aparecido de and Silva, Daniel and Messias, 
                         Cassiano Gustavo and Soler, Luciana de Souza and Gusm{\~a}o, Luiz 
                         Henrique Almeida and Maurano, Luis Eduardo Pinheiro and Lima, 
                         Thiago Carvalho de and Soares, Igor and Barradas, Delmina Carla 
                         Matos and Cunha, I. P. and Bastos, E. and Belluzo, Amanda and 
                         Quadros, Camila Barata and Bento, Bruna Pechini and Pinheiro, 
                         F{\'a}bio da Concei{\c{c}}{\~a}o and Silva J{\'u}nior, 
                         Lib{\'e}rio",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {World Wide 
                         Fund for Nature} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Mapping natural non-forest vegetation removal in the brazilian 
                         amazon - a pilot project",
              journal = "The International Archives of the Photogrammetry, Remote Sensing 
                         and Spatial Information Sciences",
                 year = "2022",
               volume = "43",
               number = "B3",
                pages = "1341--1348",
             keywords = "Non-forest vegetation, mapping, natural vegetation removal, 
                         PRODES, Brazilian Amazon.",
             abstract = "The increasing pressure from agriculture and pasture activities 
                         over non-forest vegetation areas revealed the need of INPE to 
                         extend forest regular monitoring to non-forested areas. Non-forest 
                         vegetation consists of savannahs, shrub lands, grasslands or 
                         seasonal floodplains that occupy 279 thousand km2 (6,63 %) of 
                         Brazilian Amazon biome extension. Addressed ecosystem services of 
                         nonforest vegetation vary from climate, soil, carbon storage, 
                         biodiversity, water and fire regulation to cultural benefits and 
                         living of the population. The challenge in monitoring non-forest 
                         removal lies in climatic seasonality, high variability of 
                         phytophysiognomies and cloud coverage. In this work we developed a 
                         method to map non-forest vegetation from 2000 to 2021 in a pilot 
                         area enclosing five municipalities in Roraima and Amap{\'a} 
                         states. Considering the total area of 47 thousand kmē, 58 % was 
                         originally forest and 37 % was non-forest vegetation. In 2020, 
                         soybean planted areas occupied 60 thousands hectares in these 
                         municipalities. We adapted PRODES protocol to non-forest features 
                         using visual interpretation of Landsat and SENTINEL-2 satellite 
                         images. Regional expertise supported the interpretation keys to 
                         distinguish non-forest removal from seasonal changes or other land 
                         use changes. A baseline map for 2000 is provided together with 
                         biannual and annual increments for 2002-2018 and 2019-2021, 
                         respectively. Results show removal of nonforested areas even 
                         overpassing deforestation in some municipalities. Accumulated 
                         non-forest removal was 3.133,06 km2 or 17,44 % of the non-forest 
                         area enclosed. This work consolidated the method to be applied in 
                         the Brazilian Amazon biome allowing a uniform historical mapping 
                         series of deforestation and non-forest removal.",
                  doi = "10.5194/isprs-archives-xliii-b3-2022-1341-2022",
                  url = "http://dx.doi.org/10.5194/isprs-archives-xliii-b3-2022-1341-2022",
                 issn = "1682-1750",
                label = "lattes: 1240868188538349 1 AlmeidaSMSGMSSBCBBQPPS:2022:PIPR",
             language = "en",
           targetfile = "isprs-archives-XLIII-B3-2022-1341-2022.pdf",
        urlaccessdate = "29 jun. 2024"
}