@Article{CarvalhoUSAMSCM:2020:DrMoBa,
               author = "Carvalho, Mairon {\^A}nderson Cordeiro Correa de and Uliana, 
                         Eduardo Morgan and Silva, Demetrius David da and Aires, Uilson 
                         Ricardo Ven{\^a}ncio and Martins, Camila Aparecida da Silva and 
                         Sousa Junior, Marionei Fomaca de and Cruz, Ibraim Fantin da and 
                         Mendes, M{\'u}cio Andr{\'e} dos Santos Alves",
          affiliation = "{Universidade Federal de Mato Grosso (UFMT)} and {Universidade 
                         Federal de Mato Grosso (UFMT)} and {Universidade Federal de 
                         Vi{\c{c}}osa (UFV)} and {Universidade Federal de Vi{\c{c}}osa 
                         (UFV)} and {Universidade Federal do Esp{\'{\i}}rito Santo 
                         (UFES)} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Universidade Federal de Mato Grosso (UFMT)} and {Universidade 
                         Federal de Mato Grosso (UFMT)}",
                title = "Drought Monitoring Based on Remote Sensing in a Grain-Producing 
                         Region in the Cerrado-Amazon Transition, Brazil",
              journal = "Water",
                 year = "2020",
               volume = "12",
               number = "12",
                pages = "e3366",
             keywords = "agricultural planning, soybean, climate risk, natural disaster, 
                         water resource management.",
             abstract = "Drought is a natural disaster that affects a countrys economy and 
                         food security. The monitoring of droughts assists in planning 
                         assertive actions to mitigate the resulting environmental and 
                         economic impacts. This work aimed to evaluate the performance of 
                         the standardized precipitation index (SPI) using rainfall data 
                         estimated by orbital remote sensing in the monitoring of 
                         meteorological drought in the CerradoAmazon transition region, 
                         Brazil. Historical series from 34 rain gauge stations, in addition 
                         to indirect measurements of monthly precipitation obtained by 
                         remote sensing using the products CHIRPS-2.0, PERSIANN-CDR, 
                         PERSIANN-CCS, PERSIANN, GPM-3IMERGMv6, and GPM-3IMERGDLv6, were 
                         used in this study. Drought events detected by SPI were related to 
                         a reduction in soybean production. The SPI calculated from the 
                         historical rain series estimated by remote sensing allowed 
                         monitoring droughts, enabling a high detailing of the spatial 
                         variability of droughts in the region, mainly during the soybean 
                         development cycle. Indirect precipitation measures associated with 
                         SPI that have adequate performance for detecting droughts in the 
                         study region were PERSIANN-CCS (January), CHIRPS-2.0 (February and 
                         November), and GPM-3IMERGMv6 (March, September, and December). The 
                         SPI and the use of precipitation data estimated by remote sensing 
                         are effective for characterizing and monitoring meteorological 
                         drought in the study region.",
                  doi = "10.3390/w12123366",
                  url = "http://dx.doi.org/10.3390/w12123366",
                 issn = "2073-4441",
                label = "lattes: 7771542353189747 6 CarvalhoUSAMSCM:2020:DrMoBa",
             language = "en",
           targetfile = "carvalho_drought.pdf",
        urlaccessdate = "28 abr. 2024"
}