has been cited by the following article(s):
[1]
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MANAGEMENT OF HEAT WAVE CONDITIONS IN AGRICULTURE
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2021 |
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[2]
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APLICAÇÃO FOLIAR DE EXTRATO DE ALGA ASCOPHYLLUM NODOSUM E MAGNÉSIO NA RESPOSTA FISIOLÓGICA DE PLANTAS CÍTRICAS AO …
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2021 |
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[3]
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Climate variability and crop diversification in Brazil: An ordered probit analysis
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2020 |
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[4]
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Spatial Multivariate Cluster Analysis for Defining Target Population of Environments in West Africa for Yam Breeding
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International Journal of Applied Geospatial Research (IJAGR),
2019 |
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[5]
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Characterizing the atmospheric conditions during the 2010 heatwave in Rio de Janeiro marked by excessive mortality rates
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Science of The Total Environment,
2019 |
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[6]
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Drought impacts assessment in Brazil-a remote sensing approach
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2019 |
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[7]
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Increase Risk of Drought in the Semiarid Lands of Northeast Brazil Due to Regional Warming above 4 C
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Climate Change Risks in Brazil,
2019 |
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[8]
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Canopy temperatures distribution over soybean crop fields using satellite data in the Amazon biome frontier
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European Journal of Remote Sensing,
2018 |
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[9]
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Two approaches to calculate TVDI in humid subtropical climate of southern Brazil
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2018 |
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[10]
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Early assessment of crop yield from remotely sensed water stress and solar radiation data
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ISPRS Journal of Photogrammetry and Remote Sensing,
2018 |
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[11]
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Analyzing the impact of thermal stress on vegetation health and agricultural drought–a case study from Gujarat, India
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Critical Reviews in Environmental Science and Technology,
2017 |
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[12]
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Climatic and synoptic characterization of heat waves in Brazil
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International journal of climatology,
2017 |
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[13]
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The Evaporative Stress Index as an indicator of agricultural drought in Brazil: An assessment based on crop yield impacts
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Remote Sensing of Environment,
2016 |
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[14]
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Cropping frequency and area response to climate variability can exceed yield response
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Nature Climate Change,
2016 |
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[15]
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Monitoring the vulnerability of soybean to heat waves and their impacts in Mato Grosso state, Brazil
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Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International,
2014 |
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[1]
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Climate Change Risks in Brazil
2019
DOI:10.1007/978-3-319-92881-4_7
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[2]
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Spatial Multivariate Cluster Analysis for Defining Target Population of Environments in West Africa for Yam Breeding
International Journal of Applied Geospatial Research,
2019
DOI:10.4018/IJAGR.2019070104
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[3]
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Two approaches to calculate TVDI in humid subtropical climate of southern Brazil
Scientia Agricola,
2018
DOI:10.1590/1678-992x-2016-0315
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[4]
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Canopy temperatures distribution over soybean crop fields using satellite data in the Amazon biome frontier
European Journal of Remote Sensing,
2018
DOI:10.1080/22797254.2018.1511832
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[5]
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Analyzing the impact of thermal stress on vegetation health and agricultural drought – a case study from Gujarat, India
GIScience & Remote Sensing,
2017
DOI:10.1080/15481603.2017.1309737
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[6]
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The Evaporative Stress Index as an indicator of agricultural drought in Brazil: An assessment based on crop yield impacts
Remote Sensing of Environment,
2016
DOI:10.1016/j.rse.2015.11.034
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[7]
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Monitoring the vulnerability of soybean to heat waves and their impacts in Mato Grosso state, Brazil
2014 IEEE Geoscience and Remote Sensing Symposium,
2014
DOI:10.1109/IGARSS.2014.6946560
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