首页> 外文会议>Remote sensing for agriculture, ecosystems, and hydrology XIV >Water productivity assessment by using MODIS images and agrometeorological data in the Petrolina municipality, Brazil
【24h】

Water productivity assessment by using MODIS images and agrometeorological data in the Petrolina municipality, Brazil

机译:使用MODIS图像和农业气象数据对巴西Petrolina市进行水生产率评估

获取原文
获取原文并翻译 | 示例

摘要

The municipality of Petrolina, located in the semi-arid region of Brazil, is highlighted as an important agricultural growing region, however the irrigated areas have cleared natural vegetation inducing a loss of biodiversity. To analyze the contrast between these two ecosystems the large scale values of biomass production (BIO), evapotranspiration (ET) and water productivity (WP) were quantified. Monteith's equation was applied for estimating the absorbed photosynthetically active radiation (APAR), while the new SAFER (Simple Algorithm For Evapotranspiration Retrieving) algorithm was used to retrieve ET. The water productivity (WP) was analysed by the ratio of BIO by ET at monthly time scale with four bands of MODIS satellite images together with agrometeorological data for the year of 2011. The period with the highest water productivity values were from March to April in the rainy period for both irrigated and not irrigated conditions. However the largest ET rates were in November for irrigated crops and April for natural vegetation. More uniformity of the vegetation and water variables occurs in natural vegetation, evidenced by the lower values of standard deviation when comparing to irrigated crops, due to the different crop stages, cultural and irrigation managements. The models applied with MODIS satellite images on a large scale are considered to be suitable for water productivity assessments and for quantifying the effects of increasing irrigated areas over natural vegetation on regional water consumption in situations of quick changing land use pattern.
机译:坐落在巴西半干旱地区的Petrolina市被视为重要的农业增长区,但是灌溉区清除了自然植被,导致生物多样性丧失。为了分析这两个生态系统之间的对比,对生物量生产(BIO),蒸散量(ET)和水生产率(WP)的大规模值进行了量化。应用Monteith方程估算吸收的光合有效辐射(APAR),而使用新的SAFER(用于蒸发蒸腾的简单算法)算法来检索ET。用2011年的4波段MODIS卫星图像和农业气象数据,用ET的BIO值按月尺度的BIO比率分析了水生产率(WP)。灌溉和非灌溉条件下的雨季。然而,最大的ET发生率是在11月的灌溉作物和4月的自然植被。在自然植被中,植被和水分变量的一致性更高,这是由于与灌溉作物相比,由于作物生长阶段,文化和灌溉管理方式的不同,标准偏差值较低。大规模应用MODIS卫星图像的模型被认为适用于水生产率评估,并适合在土地使用方式快速变化的情况下量化自然植被上灌溉面积的增加对区域耗水量的影响。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号