Use of Remote Sensing to Guide the Assessment of Temperate Grassland Degradation in the Territory

The methodology Participatory Rangeland and Grassland Assessment (PRAGA), in its baseline phase, more specifically in stage 4, suggests remote sensing to assess at landscape scale. In order to determine the sites to be evaluated, grassland pixels of the Modis sensor were taken into account. Within it, three types of soils were differentiated: superficial, medium and deep, according to the previous existing cartography (2). Within each soil type, pixels with significant trends (ἀ \u3c 0.05), positive and negative (bright and hot), for the period 2000 -2017, were searched for both, IPSE and RESTREND. Therefore, 6 pixels of the Modis sensor were selected for each landscape. From the field evaluation it appears that the greatest difference between the bright and hot trends was the height of the forage, and that both are pasture conditions that can be reversible, due to changes in management variables, mainly the animal load. And the positive (bright) trend does not have to be the most desirable condition, on the contrary, the negative (hot) the least desirable