{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,6]],"date-time":"2026-04-06T20:24:11Z","timestamp":1775507051769,"version":"3.50.1"},"reference-count":51,"publisher":"MDPI AG","issue":"14","license":[{"start":{"date-parts":[[2023,7,20]],"date-time":"2023-07-20T00:00:00Z","timestamp":1689811200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"University of Newcastle"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Precipitation is a critical driver of vegetation productivity and dynamics in dryland environments, especially in areas with intense livestock farming. Availability and access to accurate, reliable, and timely rainfall data are essential for natural resources management, environmental monitoring, and informing hydrological rainfall-runoff models. Gauged precipitation data in drylands are often scarce, fragmented, and with low spatial resolution; therefore, satellite-estimated precipitation becomes a valuable dataset for overcoming this constraint. Using statistical indices, we compared satellite-derived precipitation data from four products (CHIRPS, GPM, TRMM, and PERSIANN-CDR) against gauged data at different temporal scales (daily, monthly, and yearly). Spatial correlations were calculated for GPM and CHIRPS estimates against interpolated gauged precipitation. We then estimated NDVI response to Antecedent Accumulated Precipitation (AAP) for 1, 3, 6, 9, and 12 months of four major vegetation types typical of the region. Statistical metrics varied with temporal scales being highest and acceptable for periods of 1 month or 1 year. At monthly scale GPM presented the best Pearson\u2019s Correlation Coefficient (r), Root Mean Square Error (RMSE) and RMSE-observations standard deviation ratio (RSR) and CHIRPS resulted in lower Mean Error (ME) and Bias. On an annual basis CHIRPS showed the best adjustment for all indicators except for r. NDVI responses to 3 months of AAP were significant for all vegetation types in the study area. The findings of this study show that estimated precipitation data from GPM and CHIRPS satellites are accurate and valuable as a tool for analysing the relationships between precipitation and vegetation in the drylands of Mendoza.<\/jats:p>","DOI":"10.3390\/rs15143615","type":"journal-article","created":{"date-parts":[[2023,7,20]],"date-time":"2023-07-20T04:27:13Z","timestamp":1689827233000},"page":"3615","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["NDVI Response to Satellite-Estimated Antecedent Precipitation in Dryland Pastures"],"prefix":"10.3390","volume":"15","author":[{"given":"Carlos","family":"Brieva","sequence":"first","affiliation":[{"name":"Centre for Water Security and Environmental Sustainability, School of Engineering, The University of Newcastle, Callaghan, NSW 2308, Australia"},{"name":"Instituto Nacional de Tecnolog\u00eda Agropecuaria (INTA), EEA Rama Ca\u00edda, Mendoza 5600, Argentina"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2478-3025","authenticated-orcid":false,"given":"Patricia M.","family":"Saco","sequence":"additional","affiliation":[{"name":"Centre for Water Security and Environmental Sustainability, School of Engineering, The University of Newcastle, Callaghan, NSW 2308, Australia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5463-8307","authenticated-orcid":false,"given":"Steven G.","family":"Sandi","sequence":"additional","affiliation":[{"name":"Centre for Water Security and Environmental Sustainability, School of Engineering, The University of Newcastle, Callaghan, NSW 2308, Australia"},{"name":"School of Engineering, Deakin University, Geelong, VIC 3216, Australia"}]},{"given":"Sebasti\u00e1n","family":"Mora","sequence":"additional","affiliation":[{"name":"Instituto Nacional de Tecnolog\u00eda Agropecuaria (INTA), EEA Rama Ca\u00edda, Mendoza 5600, Argentina"}]},{"given":"Jos\u00e9 F.","family":"Rodr\u00edguez","sequence":"additional","affiliation":[{"name":"Centre for Water Security and Environmental Sustainability, School of Engineering, The University of Newcastle, Callaghan, NSW 2308, Australia"}]}],"member":"1968","published-online":{"date-parts":[[2023,7,20]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1717","DOI":"10.5194\/hess-11-1717-2007","article-title":"Eco-geomorphology of banded vegetation patterns in arid and semi-arid regions","volume":"11","author":"Saco","year":"2007","journal-title":"Hydrol. 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