The effective discrimination and combat of land degradation, principally in arid, semi-arid, and dry sub-humid environments, relies on the efficient application of detection and monitoring Land Use and Land Cover Changes (LULCC) techniques. In this way, this study evaluated the decadal trends of environmental changes in Cabrobó’s Desertification Nucleus (CDN), Pernambuco, Brazilian semiarid region, between 2001 and 2021. For this, we manipulated CHIRPS data, MODIS products (MOD13A1, MCD43A3, and MOD16A2), and MapBiomas data in the Google Earth Engine (GEE) digital platform and the QGIS software (version 3.10.9). We performed a space-temporal trend assessment for all biophysical parameters via non-parametric tests Mann-Kendall (MK) and Sen’s Slope Estimator (SSE). The results obtained showed the effectiveness of using these orbital products for long-term environmental analysis, as well as highlighting the municipalities of Belém do São Francisco, Itacuruba, and Floresta with significant trends at the 1% probability level of the biophysical indices (from decrease to potential evapotranspiration and NDVI, and addition to albedo surface) due to a more change in land use and cover. This methodology proved useful for studies on the discrimination of space-temporal trends in other Caatinga areas after the appropriate methodological adjustments.