A 10-meter resolution human footprint dataset to support biodiversity and conservation research in Brazil
Hamilton, Stuart; Andrea, Presotto; Izar, Patricia
- Publisher
- Zenodo
- Language
- en
Abstract
Assessing the Human Impact on the Environment in Brazil at 10-meter resolution (HIBR-10) is the first attempt to create an anthropogenic footprint for all of Brazil, accounting for species’ scales of interaction across the environment. Mapping humans’ impact on the environment in high resolution is critical for habitat conservation when examining these species living in fragmented forests with small-range habitats, such as non-human primates, that coarser datasets may not capture. Here, we designed and implemented a methodology and produced an output geospatial dataset for Brazil at a 10,000 times higher resolution than the currently available datasets. Over 86.5 billion 10 m mapping units were assessed for their level of human impact across a suite of established human impact variables. The input variables were evaluated using a process of cross-validation from comparable datasets obtained from sub-10 cm high-resolution UAV imagery and 30 cm satellite imagery to ensure data integrity. This human impact dataset will support many researchers across disciplines dealing with species-specific conservation needs and is designed to be customizable.
Full text
Códigos das classes da legenda da Coleção 9 do MapBiomas Brasil COLEÇÃO 9 - CLASSES COLLECTION 9 - CLASSES Code ID Hexacode Number Color ID 1. Floresta 1. Forest 1 #1f8d49 1.1 Formação Florestal 1.1. Forest Formation 3 #1f8d49 1.2. Formação Savânica 1.2. Savanna Formation 4 #7dc975 1.3. Mangue 1.3. Mangrove 5 #04381d 1.4. Floresta Alagável 1.4 Floodable Forest 6 #007785 1.5. Restinga Arbórea 1.5. Wooded Sandbank Vegetation 49 #02d659 2. Vegetação Herbácea e Arbustiva 2. Herbaceous and Shrubby Vegetation 10 #d6bc74 2.1. Campo Alagado e Área Pantanosa 2.1. Wetland 11 #519799 2.2. Formação Campestre 2.2. Grassland 12 #d6bc74 2.3. Apicum 2.3. Hypersaline Tidal Flat 32 #fc8114 2.4. Afloramento Rochoso 2.4. Rocky Outcrop 29 #ffaa5f 2.5. Restinga Herbácea 2.5. Herbaceous Sandbank Vegetation 50 #ad5100 3. Agropecuária 3. Farming 14 #ffefc3 3.1. Pastagem 3.1. Pasture 15 #edde8e 3.2. Agricultura 3.2. Agriculture 18 #E974ED 3.2.1. Lavoura Temporária 3.2.1. Temporary Crop 19 #C27BA0 3.2.1.1. Soja 3.2.1.1. Soybean 39 #f5b3c8 3.2.1.2. Cana 3.2.1.2. Sugar cane 20 #db7093 3.2.1.3. Arroz 3.2.1.3. Rice 40 #c71585 3.2.1.4. Algodão (beta) 3.2.1.4. Cotton (beta) 62 #ff69b4 3.2.1.5. Outras Lavouras Temporárias 3.2.1.5. Other Temporary Crops 41 #f54ca9 3.2.2. Lavoura Perene 3.2.2. Perennial Crop 36 #d082de 3.2.2.1. Café 3.2.2.1. Coffee 46 #d68fe2 3.2.2.2. Citrus 3.2.2.2. Citrus 47 #9932cc 3.2.2.3. Dendê 3.2.2.3. Palm Oil 35 #9065d0 3.2.2.4. Outras Lavouras Perenes 3.2.2.4. Other Perennial Crops 48 #e6ccff 3.3. Silvicultura 3.3. Forest Plantation 9 #7a5900 3.4. Mosaico de Usos 3.4. Mosaic of Uses 21 #ffefc3 4. Área não Vegetada 4. Non vegetated area 22 #d4271e 4.1. Praia, Duna e Areal 4.1. Beach, Dune and Sand Spot 23 #ffa07a 4.2. Área Urbanizada 4.2. Urban Area 24 #d4271e 4.3. Mineração 4.3. Mining 30 #9c0027 4.4. Outras Áreas não Vegetadas 4.4. Other non Vegetated Areas 25 #db4d4f 5. Corpo D'água 5. Water 26 #2532e4 5.1 Rio, Lago e Oceano 5.1. River, Lake and Ocean 33 #2532e4 5.2 Aquicultura 5.2. Aquaculture 31 #091077 6. Não observado 6. Not Observed 27 #ffffff
