Abstract
Abstract. Currently, the overwhelming amount of Earth Observation data demands new solutions regarding processing and storage. To reduce the amount of time spent in searching, downloading and pre-processing data, the remote Sensing community is coming to an agreement on the minimum amount of corrections satellite images must convey in order to reach the broadest range of applications. Satellite imagery meeting such criteria (which usually include atmospheric, radiometric and topographic corrections) are generically called Analysis Ready Data (ARD). Furthermore, ARD is being assembled into multidimensional data cubes, minimising preprocessing tasks and allowing scientists and users in general to focus on analysis. A particular instance of this is the Brazil Data Cube (BDC) project, which is processing remote sensing images of medium spatial resolution into ARD datasets and assembling them as multidimensional cubes of the Brazilian territory. For example, BDC users are released from performing tasks such as image co-registration , aerosol interference correction. This work presents a BDC proof of concept, by analysing a BDC data cube made with images from the fourth China-Brazil Earth Resources Satellite (CBERS-4) of one of the largest biodiversity hotspot in the world, the Cerrado biome. It also shows how to map and monitor land use and land cover using the CBERS data cube. We demonstrate that the CBERS data cube is effective in resolving land use and and land cover issues to meet local and national needs related to the landscape dynamics, including deforestation, carbon emissions, and public policies.
Highlights
New satellite and terrestrial remote sensing systems produce such large amounts of data at fine temporal and radiometric resolutions (Nativi et al, 2015) that new data storing solutions are dearly needed
The results demonstrate that the CBERS-4/Wide Field Imaging Camera (WFI) data cube is ideal for mapping LULC and for detecting land use and land cover change (LULCC), as it provides Analysis Ready Data (ARD) image time series
Maps produced from data cube in the ARD format can be a powerful tool for monitoring the dynamics of land use and land cover in the Cerrado
Summary
New satellite and terrestrial remote sensing systems produce such large amounts of data at fine temporal and radiometric resolutions (Nativi et al, 2015) that new data storing solutions are dearly needed. The purpose of Earth observation (EO) data cubes is to organise the data to make their use so and intuitive that users can focus on developing and testing their methods (Appel, Pebesma, 2019). Other initiatives produce data cubes by combining images from different sensors, such as the Cubesat Enabled Spatio-Temporal Enhancement Method (CESTEM) and the Framework for Operational Radiometric Correction for Environmental monitoring (FORCE). It may encourage the scientific community to research and develop new cartographic products since several works have established data cubes as a technology for mapping land use and land cover (LULC) We present to the scientific community a data cube that is already available on the BDC project platform
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