Mapping of Central Pivot Irrigation in the Hydrographic Basin of the Goiano Tributaries of the Araguaia River

Abstract

The use of irrigation has expanded and favored agricultural productivity in recent years. The mapping through remote sensing has contributed to the monitoring of irrigated areas. In this sense, the objective of this study was to evaluate the central pivotal evolution in terms of location by municipalities, micro basins, soils and slope in the Goian tributary watershed of the Araguaia River State of Goiás. Data were available between 2000 and 2016. Irrigated areas were surveyed through the database available in the Geographical Information System of the State of Goiás (SGEI). The vector and raster data were manipulated using the Qgis v software. 2.18.26 (QGIS Development, 2019). The pivots were counted through the statistical function of the software. From the shape SGEI available in the soil map of classes is generated by categorizes tion of soil types. The declivity map was generated from raster files acquired through the Brazilian Geo morphological Database (INPE, 2017). The slope classes (%) were extracted with slope tool. There is an increase of more than 95% in the number of pivots and irrigated area between the years 2000 and 2016. The central pivots are more concentrated in the central region of the Red and Red-Light basins. The highest concentration of central pivots occurred in the municipality of Jussara. The pivots are located predominantly in an Oxisol area with a slope of 3 to 13%.

Remote Sensing and Geostatistics Applied to Ndvi, Kc and Productive Parameters in Irrigated Corn Crop

“…Costa et al (2021) obtained an R 2 between KcFAO and KcNDVI of 0.85, which indicates the high performance of these methodologies for obtaining Kc and managing irrigation in corn. Silva et al (2019) highlight that monitoring irrigated areas also requires efficient ways such as the use of remote sensing for crop management. Still Giongo et al (2022) highlight the use of remote sensing and vegetation indexes such as the NDVI for various large-scale control and monitoring applications of vegetation cover.…”