首页> 外文会议>International Society for Photogrammetry and Remote Sensing Ahmedabad Workshop >MEASUREMENT AND SCALING OF CARBON DIOXIDE (CO_(2)) EXCHANGE IN WHEAT USING FLUX-TOWER AND REMOTE SENSING
【24h】

MEASUREMENT AND SCALING OF CARBON DIOXIDE (CO_(2)) EXCHANGE IN WHEAT USING FLUX-TOWER AND REMOTE SENSING

机译:使用助焊塔和遥感的小麦的二氧化碳(CO_(2))的测量和缩放

获取原文

摘要

The present study investigates the characteristics of CO_(2) exchange (photosynthesis and respiration) over agricultural site dominated by wheat crop and their relationship with ecosystem parameters from MODIS. Eddy covariance measurements of CO_(2) and H_(2)O exchanges was carried out at 10Hz interval and fluxes of CO_(2) were computed at half-hourly time steps. The net ecosystem exchange (NEE) was partitioned into gross primary productivity (GPP) and ecosystem respiration (Re) and integrated daily to derive seasonal course of CO_(2) exchange over wheat. Diurnal pattern in Net ecosystem exchange (NEE) reveals negative NEE during day-time representing CO_(2) uptake and positive during night as release of CO_(2). The amplitude of the diurnal variation in NEE increased with growth of wheat and reached its peak around the anthesis stage. The mid-day uptake during this stage was around 1.15 mg CO2 m~(-2) s~(-1) and night-time release was around 0.15 mg CO_(2) m~(-2) s~(-1). Large daily GPP above 30 g CO_(2) m~(-2) d~(-1) continued until mid of anthesis stage (15 march) and decline rapidly during maturity stage. Linear and non-linear least square regression procedures were employed to develop phenomenological models and empirical fits between flux tower based GPP and NEE with satellite derived variables and environmental parameters. Enhanced vegetation index was found significantly related to both GPP and NEE. However, NDVI showed little less significant relationship with both GPP and NEE. Furthemore, temperature-greenness model combining scaled EVI and LST was parameterized to estimate daily GPP over dominantly wheat crop site. (R~(2) velence 0.77). Multi-variate analysis shows that inclusion of LST or air temperature with EVI improved variance explained in daily NEE and GPP.
机译:本研究研究了小麦作物主导地位的农业部位的CO_(2)交换(光合作用和呼吸)的特点及其与MODIS的生态系统参数的关系。 CO_(2)和H_(2)O交换的涡流协方差测量在10Hz间隔下进行,并且在半小时的时间步骤中计算CO_(2)的助熔剂。净生态系统交易所(NEE)被划分为总初级生产力(GPP)和生态系统呼吸(RE),并每天融入季节性课程(2)兑换小麦。净生态系统交易所(NEE)中的昼夜图案在白天代表CO_(2)摄取和阳性的昼夜爆发,作为CO_(2)的释放。 NEE的昼夜变化的幅度随着小麦的生长而增加,并且围绕开花阶段达到其峰。在此阶段期间的中期摄取为1.15mg CO 2 M〜(2)S〜(-1),夜间释放约为0.15 mg CO_(2)m〜(-2)s〜(-1) 。每日大量GPP高于30g CO_(2)m〜(-2)d〜(-1)持续到开星阶段(3月15日)中期,并在成熟期期间迅速下降。采用线性和非线性最小二乘回归程序,在基于GPP和NEE与卫星衍生的变量和环境参数之间开发现象学模型和经验拟合。发现增强的植被指数与GPP和NEE有显着相关。然而,NDVI与GPP和NEE都表现出不太重要的关系。 Forfthemore,温度 - 绿色模型结合缩放的EVI和LST参数化以估算每日GPP在主要的小麦作物网站上。 (r〜(2)柔性0.77)。多变化分析表明,在日常NEE和GPP中解释的EVI改善方差的LST或空气温度包含LST或空气温度。

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