The accumulation of thermal time usually represents the local heat resources to drive crop growth.Maps of temperature-based agro-meteorological indices are commonly generated by the spatial interpolation of data colle...The accumulation of thermal time usually represents the local heat resources to drive crop growth.Maps of temperature-based agro-meteorological indices are commonly generated by the spatial interpolation of data collected from meteorological stations with coarse geographic continuity.To solve the critical problems of estimating air temperature(T a) and filling in missing pixels due to cloudy and low-quality images in growing degree days(GDDs) calculation from remotely sensed data,a novel spatio-temporal algorithm for T a estimation from Terra and Aqua moderate resolution imaging spectroradiometer(MODIS) data was proposed.This is a preliminary study to calculate heat accumulation,expressed in accumulative growing degree days(AGDDs) above 10 ℃,from reconstructed T a based on MODIS land surface temperature(LST) data.The verification results of maximum T a,minimum T a,GDD,and AGDD from MODIS-derived data to meteorological calculation were all satisfied with high correlations over 0.01 significant levels.Overall,MODIS-derived AGDD was slightly underestimated with almost 10% relative error.However,the feasibility of employing AGDD anomaly maps to characterize the 2001-2010 spatio-temporal variability of heat accumulation and estimating the 2011 heat accumulation distribution using only MODIS data was finally demonstrated in the current paper.Our study may supply a novel way to calculate AGDD in heat-related study concerning crop growth monitoring,agricultural climatic regionalization,and agro-meteorological disaster detection at the regional scale.展开更多
Burkina Faso, an 80% agricultural country, today copes the massive use of agricultural inputs to boost productivity. However, these pesticides are sources of pollution of water resources. This is how, the objective of...Burkina Faso, an 80% agricultural country, today copes the massive use of agricultural inputs to boost productivity. However, these pesticides are sources of pollution of water resources. This is how, the objective of this work was to take stock of the inputs used on the Pic of Sindou rice perimeter and to characterize the vulnerability of the aquifer to these products. The study took place from February to September 2019, where two hundred farmers of the perimeter were investigated on the type and quantity of fertilizers and pesticides used in off-season rice farming activities. The DRASTIC method was used to map the vulnerability of the groundwater resource to these pollutants. Producers use NPK and Urea at 90% and 10% to the organic manure as fertilizers, and herbicides and insecticides with the actives ingredient are Glyphosate, Dimethoate and 2.4 D amine salt. The vulnerability to agricultural pollution of the aquifer remains low, but the risk of contamination from pesticides remains possible.展开更多
基金Project supported by the National Key Technology R&D Program of China (No. 2012BAH29B02)the PhD Programs Foundation of Ministry of Education of China (No. 200100101110035)
文摘The accumulation of thermal time usually represents the local heat resources to drive crop growth.Maps of temperature-based agro-meteorological indices are commonly generated by the spatial interpolation of data collected from meteorological stations with coarse geographic continuity.To solve the critical problems of estimating air temperature(T a) and filling in missing pixels due to cloudy and low-quality images in growing degree days(GDDs) calculation from remotely sensed data,a novel spatio-temporal algorithm for T a estimation from Terra and Aqua moderate resolution imaging spectroradiometer(MODIS) data was proposed.This is a preliminary study to calculate heat accumulation,expressed in accumulative growing degree days(AGDDs) above 10 ℃,from reconstructed T a based on MODIS land surface temperature(LST) data.The verification results of maximum T a,minimum T a,GDD,and AGDD from MODIS-derived data to meteorological calculation were all satisfied with high correlations over 0.01 significant levels.Overall,MODIS-derived AGDD was slightly underestimated with almost 10% relative error.However,the feasibility of employing AGDD anomaly maps to characterize the 2001-2010 spatio-temporal variability of heat accumulation and estimating the 2011 heat accumulation distribution using only MODIS data was finally demonstrated in the current paper.Our study may supply a novel way to calculate AGDD in heat-related study concerning crop growth monitoring,agricultural climatic regionalization,and agro-meteorological disaster detection at the regional scale.
文摘Burkina Faso, an 80% agricultural country, today copes the massive use of agricultural inputs to boost productivity. However, these pesticides are sources of pollution of water resources. This is how, the objective of this work was to take stock of the inputs used on the Pic of Sindou rice perimeter and to characterize the vulnerability of the aquifer to these products. The study took place from February to September 2019, where two hundred farmers of the perimeter were investigated on the type and quantity of fertilizers and pesticides used in off-season rice farming activities. The DRASTIC method was used to map the vulnerability of the groundwater resource to these pollutants. Producers use NPK and Urea at 90% and 10% to the organic manure as fertilizers, and herbicides and insecticides with the actives ingredient are Glyphosate, Dimethoate and 2.4 D amine salt. The vulnerability to agricultural pollution of the aquifer remains low, but the risk of contamination from pesticides remains possible.
