Academic Journal
Discriminating Land Use and Land Cover Classes in Brazil Based on the Annual PROBA-V 100 m Time Series
| العنوان: | Discriminating Land Use and Land Cover Classes in Brazil Based on the Annual PROBA-V 100 m Time Series |
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| المؤلفون: | Yosio Edemir Shimabukuro, Egidio Arai, Valdete Duarte, Andeise Cerqueira Dutra, Henrique Luis Godinho Cassol, Edson Eyji Sano, Tania Beatriz Hoffmann |
| المصدر: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 3409-3420 (2020) |
| بيانات النشر: | IEEE, 2020. |
| سنة النشر: | 2020 |
| المجموعة: | LCC:Ocean engineering LCC:Geophysics. Cosmic physics |
| مصطلحات موضوعية: | Fraction images, image processing, linear spectral mixing model (LSMM), random forest (RF), Ocean engineering, TC1501-1800, Geophysics. Cosmic physics, QC801-809 |
| الوصف: | Brazil, with more than 8 million km2, presents six different biomes, ranging from natural grasslands (Pampa biome) to tropical rainfall forests (Amazônia biome), with different land-use types (mostly pasturelands and croplands) and pressures (mainly in the Cerrado biome). The objective of this article is to present a new method to discriminate the most representative land use and land cover (LULC) classes of Brazil, based on the PROBA-V images. The images were converted into vegetation, soil, and shade fraction images by applying the linear spectral mixing model. Then, the pixel-based, highest proportion, annual mosaics of the fraction images, and their corresponding standard deviation images were derived and classified using the random forest algorithm. The following LULC classes were considered: forestlands, shrublands, grasslands, croplands, pasturelands, water bodies, and others. An agreement analysis was conducted with two available LULC maps derived from the Landsat satellite, the MapBiomas, and the Finer Resolution Observation and Monitoring-Global Land Cover (FROM-GLC) projects. Forestlands (412 million ha) and pasturelands (242 million ha) were the two most representative LULC classes; and croplands accounted for 30 million ha. The results presented an overall agreement of 69% and 58% with the MapBiomas and FROM-GLC projects, respectively. The proposed method is a good alternative to support operational projects of LULC map production that are important for planning biodiversity conservation or environmentally sustainable land occupation. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2151-1535 |
| Relation: | https://ieeexplore.ieee.org/document/9103191/; https://doaj.org/toc/2151-1535 |
| DOI: | 10.1109/JSTARS.2020.2994893 |
| URL الوصول: | https://doaj.org/article/18a6f9519c5743468c1c8d6d8a4f4975 |
| رقم الانضمام: | edsdoj.18a6f9519c5743468c1c8d6d8a4f4975 |
| قاعدة البيانات: | Directory of Open Access Journals |
| تدمد: | 21511535 |
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| DOI: | 10.1109/JSTARS.2020.2994893 |