Estimating net primary productivity of croplands in Indo-Gangetic Plains using GOME-2 sun-induced fluorescence and MODIS NDVI

被引：9

作者：

Patel, N. R. ^{[1
]}

Padalia, Hitendra ^{[1
]}

Devadas, R. ^{[2
]}

Huete, A. ^{[2
]}

Kumar, A. Senthil ^{[1
]}

Murthy, Y. V. N. Krishna ^{[3
]}

机构：

[1] Indian Inst Remote Sensing, Dehra Dun 248001, India

[2] Univ Technol Sydney, Sydney, NSW, Australia

[3] Natl Remote Sensing Ctr, Hyderabad 500072, Andhra Pradesh, India

来源：

CURRENT SCIENCE | 2018年 / 114卷 / 06期

关键词：

Crop lands; net primary productivity; photosynthetic activity; sun-induced fluorescence; TERRESTRIAL CHLOROPHYLL FLUORESCENCE; PHOTOSYNTHESIS; SPACE;

D O I：

10.18520/cs/v114/i06/1333-1337

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Recently evolved satellite-based sun-induced fluorescence (SIF) spectroscopy is considered as a direct measure of photosynthetic activity of vegetation. We have used monthly averages of satellite-based SIF retrievals for three agricultural year cycles, i.e. May to April for each of the three years, viz. 2007-08, 2008-09 and 2009-10 to assess comparative performance of SIF and normalized difference vegetation index (NDVI) for predicting net primary productivity (NPP) over the Indo-Gangetic Plains, India. Results show that SIF values for C4 crop-dominated districts were higher than C3 crop-dominated districts during summer and low during winter for all three years. SIF explained more or less above 70% of variance in NPP. The variance explained by integrated NDVI ranged from 60% to 67%. Thus the present study has shown the potential of SIF data for improved modelling of agricultural productivity at a regional scale.

引用

页码：1333 / 1337

页数：6

共 10 条

[1]

[Anonymous], 2013, ATMOS MEAS TECH, DOI DOI 10.5194/AMT-6-207-2013

[2] Disentangling chlorophyll fluorescence from atmospheric scattering effects in O2 A-band spectra of reflected sun-light [J].