Canopy temperatures distribution over soybean crop fields using satellite data in the Amazon biome frontier
During the studied time window, between 2003 and 2010, there was an important increase of land use conversion into new soybean areas (first-time-use) in Mato Grosso state (MT) in Brazil. Uncertainties of future scenario of Brazilian agriculture and increase in the frequency of extreme events, such a...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2018-01-01
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| Series: | European Journal of Remote Sensing |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/22797254.2018.1511832 |
| _version_ | 1818065528773672960 |
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| author | Anibal Gusso |
| author_facet | Anibal Gusso |
| author_sort | Anibal Gusso |
| collection | DOAJ |
| description | During the studied time window, between 2003 and 2010, there was an important increase of land use conversion into new soybean areas (first-time-use) in Mato Grosso state (MT) in Brazil. Uncertainties of future scenario of Brazilian agriculture and increase in the frequency of extreme events, such as the occurrence of high temperatures, is highly likely to produce yield loss on summer crops. The MT is the largest producer of soybeans and accounted for 28.2% of the national production in 2013. The objective of this study was to investigated specific characterization of land surface temperature distribution over the soybean crop fields canopies (canopy-LST) due to massive land use conversion into new soybean areas and its impacts on yield. Satellite imagery data from Aqua and Terra/MODIS sensors (Moderate Resolution Imaging Spectroradiometer) were compared to official agricultural statistics covering eight densely cultivated regions in the studied period. Results show that within the period from flowering to grain filling canopy-LST exhibits a non-negligible relation to yield. It is expected an additional loss of 4.9% on soybean yield for each 1oC of canopy-LST above the obtained optimal level of canopy-LST with 28.4oC, associated to the higher yield averages. The difference between overall average of canopy-LST and air temperature was found 4.2 oC. |
| first_indexed | 2024-12-10T14:53:20Z |
| format | Article |
| id | doaj.art-3a5cbbacd61e4e32bb1e55d2401689bb |
| institution | Directory Open Access Journal |
| issn | 2279-7254 |
| language | English |
| last_indexed | 2024-12-10T14:53:20Z |
| publishDate | 2018-01-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | European Journal of Remote Sensing |
| spelling | doaj.art-3a5cbbacd61e4e32bb1e55d2401689bb2022-12-22T01:44:23ZengTaylor & Francis GroupEuropean Journal of Remote Sensing2279-72542018-01-0151190191010.1080/22797254.2018.15118321511832Canopy temperatures distribution over soybean crop fields using satellite data in the Amazon biome frontierAnibal Gusso0Federal University of Rio Grande do SulDuring the studied time window, between 2003 and 2010, there was an important increase of land use conversion into new soybean areas (first-time-use) in Mato Grosso state (MT) in Brazil. Uncertainties of future scenario of Brazilian agriculture and increase in the frequency of extreme events, such as the occurrence of high temperatures, is highly likely to produce yield loss on summer crops. The MT is the largest producer of soybeans and accounted for 28.2% of the national production in 2013. The objective of this study was to investigated specific characterization of land surface temperature distribution over the soybean crop fields canopies (canopy-LST) due to massive land use conversion into new soybean areas and its impacts on yield. Satellite imagery data from Aqua and Terra/MODIS sensors (Moderate Resolution Imaging Spectroradiometer) were compared to official agricultural statistics covering eight densely cultivated regions in the studied period. Results show that within the period from flowering to grain filling canopy-LST exhibits a non-negligible relation to yield. It is expected an additional loss of 4.9% on soybean yield for each 1oC of canopy-LST above the obtained optimal level of canopy-LST with 28.4oC, associated to the higher yield averages. The difference between overall average of canopy-LST and air temperature was found 4.2 oC.http://dx.doi.org/10.1080/22797254.2018.1511832Remote sensingheat stresscrop yieldland surface temperature |
| spellingShingle | Anibal Gusso Canopy temperatures distribution over soybean crop fields using satellite data in the Amazon biome frontier European Journal of Remote Sensing Remote sensing heat stress crop yield land surface temperature |
| title | Canopy temperatures distribution over soybean crop fields using satellite data in the Amazon biome frontier |
| title_full | Canopy temperatures distribution over soybean crop fields using satellite data in the Amazon biome frontier |
| title_fullStr | Canopy temperatures distribution over soybean crop fields using satellite data in the Amazon biome frontier |
| title_full_unstemmed | Canopy temperatures distribution over soybean crop fields using satellite data in the Amazon biome frontier |
| title_short | Canopy temperatures distribution over soybean crop fields using satellite data in the Amazon biome frontier |
| title_sort | canopy temperatures distribution over soybean crop fields using satellite data in the amazon biome frontier |
| topic | Remote sensing heat stress crop yield land surface temperature |
| url | http://dx.doi.org/10.1080/22797254.2018.1511832 |
| work_keys_str_mv | AT anibalgusso canopytemperaturesdistributionoversoybeancropfieldsusingsatellitedataintheamazonbiomefrontier |