Detection and classification of changes in agriculture, forest, and shrublands for land cover map updating in Portugal

Hugo Costa; Pedro Benevides; Francisco D. Moreira; Mário Caetano

doi:10.1117/12.2636127

28 October 2022 Detection and classification of changes in agriculture, forest, and shrublands for land cover map updating in Portugal

Hugo Costa, Pedro Benevides, Francisco D. Moreira, Mário Caetano

Author Affiliations +

Proceedings Volume 12262, Remote Sensing for Agriculture, Ecosystems, and Hydrology XXIV; 122620L (2022) https://doi.org/10.1117/12.2636127
Event: SPIE Remote Sensing, 2022, Berlin, Germany

Abstract

Portugal produced a land cover map for 2018 based on Sentinel-2 data and represents 13 classes, including agriculture, six tree forest species, and shrubland. The map was updated for 2020. The strategy focused on three strata where annual changes occur: S1 (agriculture) due to crop rotation, S2 (forest and shrubland) due to wildfires and clear-cuts, and S3 (fire scars and clear-cuts of previous years) where vegetation regeneration occurs. The methodology included i) change detection, ii) classification, and iii) knowledge-based rules. Stratum S1 was classified with images of the entire 2020 crop year and a training dataset extracted from the national Land Parcel Identification Systems (LPIS) of 2020. The land cover nomenclature was expanded and class agriculture was split in three distinct classes, hence resulting a map with 15 classes in total. Change detection, implemented in stratum S2, analyzed the profile of NDVI since 2018 to find potential loss of vegetation. S2 and S3 were classified through two stages. First, images of the entire 2020 crop year were used and then data of October 2020 (end of crop year) to capture late changes. The training points of the 2018 land cover map were used, but only if not associated with NDVI change. For all the three strata, knowledge-based rules corrected misclassifications and ensured consistency between the maps. A comparison between 2018 and 2020 reveal important land cover dynamics related to vegetation loss and regeneration on ~5% of the country.

Conference Presentation

Citation Download Citation

Hugo Costa, Pedro Benevides, Francisco D. Moreira, and Mário Caetano "Detection and classification of changes in agriculture, forest, and shrublands for land cover map updating in Portugal", Proc. SPIE 12262, Remote Sensing for Agriculture, Ecosystems, and Hydrology XXIV, 122620L (28 October 2022); https://doi.org/10.1117/12.2636127

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