Assessment of Caatinga response to drought using Meteosat-SEVIRI Normalized Difference Vegetation Index (2008–2016)

Spatial-temporal dynamics of the Caatinga vegetation cover by remote sensing in municipality of the Brazilian semi-arid

“…LAI thematic maps indicated over time a similar behavior through the green pixels, showing high leaf mass near the water bodies, which are irrigated areas and remain photosynthetically active due to the presence of soil moisture ( Figure 5). Barbosa et al (2018), in a study on the Caatinga response to drought by vegetation index in the Brazilian semi-arid between 2008 and 2016, emphasized that Caatinga vegetation responds more strongly to rainfall events, emphasizing that the plants that have more deep roots and irrigated crops of deeper roots due to them being more resilient, are able to stay green even during drought, a condition that corroborates to the present study. Figure 6 displays the quantification of areas according to the LAI index thematic map class ranges for the different land uses of the semi-arid region.…”

“…Drought was strongly installed in the semi-arid region of Brazil, especially in the state of Ceará, between 2012 and 2016, mainly affecting the water availability of reservoirs, causing high water deficit, with large losses, especially in the subsistence agriculture of the regions (Gutiérrez et al, 2014;Barbosa et al, 2018;Marengo et al, 2018). Figure 4 displays the behavior of the water condition over time, that is, the quantification of the areas covered by water bodies of each thematic map, between 2008 and 2015 of the semi-arid region.…”

“…In the last decades, geotechnology has been prominent in the geotechnologies development and has opened a new area of action for environmental monitoring of semi-arid regions from Brazil and the world, in particular the technologies involved in the detection of spectral responses in airborne and orbital sensors, part of the scope of remote sensing. Among the most used applications in this segment, the studies on detection, analysis and monitoring of the Caatinga biome vegetation cover stand out (Silva & Galvíncio, 2012;Vieira et al, 2013;Bezerra et al, 2014;Vieira et al, 2015;Lins et al, 2017;Oliveira et al, 2017;Barbosa et al, 2018;Campos et al, 2019).…”

Analysis of the Space–Temporal Trends of Wet Conditions in the Different Rainy Seasons of Brazilian Northeast by Quantile Regression and Bootstrap Test

“…In a brief survey conducted in the state of CE, it was shown that the consequences of droughts were short and long term, with effects present in periods of three months to more than two years [68]. Due to spatiotemporal irregularity and low rainfall, much of the NEB faces a chronic problem of water scarcity, human supplies, and agricultural activities, which can be easily identified through low vegetative vigor [69][70][71].…”

Spatial Evaluation of Droughts Using Selected Satellite-based Indices in the Upper Tana River Watershed, Kenya

“…An advantage of these classical climatic drought indices over the RS based indices is that they give long-term records of data that facilitates long-term drought assessment and evaluation [31,32]. However, since drought monitoring and evaluation requires high temporal and spatial resolution of data, the new generation RS indices such as the Normalized Difference Vegetation Index (NDVI), Vegetation Condition Index (VCI), Temperature Condition Index (TCI) and Crop Water Severity Index (CWSI) have been used in many scientific studies to study drought incidences over large areas and different landscape levels since the climatic stations are sparse in many areas [33,34,35,30].…”