Satellite-Based Modeling of Gross Primary Production of Terrestrial Ecosystems

Xiao, Xiangming; Yan, Haiming; Kalfas, Joshua; Zhang, Qingyuan

doi:10.1201/b10599-19

Cited by 3 publications

(2 citation statements)

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“…Beberapa sumber utama CO2 dari aktivitas penduduk di perkotaan antara lain adalah transportasi, pembangkit listrik, industri, perkantoran, hotel dan restoran. Hasil penelitian di Palembang menunjukan bahwa pada tahun 2010 jumlah emisi CO2 dari seluruh aktivitas penduduk mencapai 2,95 juta ton dengan aktivitas penyumbang CO2 tersebesar adalah industri skala besar dan transportasi (KLH, 2013 (Nuarsa, 2013, As-Syakur et al, 2012, Nuarsa et al, 2011, Nuarsa et al, 2010, Nuarsa et al, 2007, Nuarsa et al, 2005 (Xiao et al, 2004a;Xiao et al, 2004b;Xiao et al, 2005a;Xiao et al, 2005b). Adapun persamaan model VPM adalah: PPK = g fPARchl PAR Dimana PPK adalah produktivitas primer kotor (gC m -2 waktu -1 ), g adalah Koefisien Efisiensi Penggunaan Cahaya (gC MJ -1 ), fPARPAV adalah fraction of photosynthetically active radiation yang diserap oleh tanaman berklorofil, dan PAR adalah Photosynthetically Active Radiation (MJ m -2 waktu -1 ).…”

Section: Pendahuluanunclassified

Integrasi Teknologi Pengideraan Jauh dan Sistem Informasi Geografis untuk Estimasi Serapan dan Emisi CO2 di Kota Denpasar

Nuarsa

As-syakur²,

Gunadi³

et al. 2018

EJES

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Integration of Remote Sensing Technology And Geographic Information Systems for Estimation of CO2 Updake and Emissions in Denpasar City Rapid economic growth in the Denpasar City has an impact on the rate of population growth. This will lead to increasing land requirements for settlements, infrastructure, and other supporting facilities. Meanwhile, the availability of land for green open space (RTH) will decrease. Several studies show that from year to year the area of ??vegetation cover decreases, and the air temperature in Denpasar City is increasing. Therefore, research to calculate CO2 uptake by urban plants and CO2 emissions from various activities in the city of Denpasar is needed to be done. Estimates of CO2 uptake by plants are carried out using remote sensing technology and GIS. Meanwhile, the calculation of CO2 emissions is carried out by an inventory of CO2 pollutant sources from point sources, areas sources, and mobile sources. The output of this study is a distribution map of CO2 absorption and emissions. From the map it can be seen whether the CO2 emissions of Denpasar City are higher than the ability of existing plants to absorb them. The results showed that the ability of plants in Denpasar as a green open space to absorb CO2 was 235,780.63 tCO2/year, while total emissions from pollutant sources were 862,955,856 tCO2/year. The sources of CO2 emissions include from point source 37,649 tons/year, from source area 95,310 tons/year, and from mobile sources at 862,955,856 tons/year. From the movable source the biggest contributor to CO2 emissions is light vehicles, which amounted to 540,355.88 tons/year (62.63%), then followed by motorcycles at 260,187.43 tons/year (30.16%). The amount of CO2 emissions in Denpasar City is 3.66 times greater than the ability of plants to absorb CO2 in 2015 and there is a tendency for this gap to be even greater in the future. To overcome this problem, regulations are needed such as reducing the number of motorized vehicles by increasing public transportation services. The use of vehicles using energy sources other than fuel such as electricity is another alternative to consider. Finally, the increase in the number and quality of green open spaces is a conventional method that needs to be done.

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Section: Pendahuluanunclassified

Integrasi Teknologi Pengideraan Jauh dan Sistem Informasi Geografis untuk Estimasi Serapan dan Emisi CO2 di Kota Denpasar

Nuarsa

As-syakur²,

Gunadi³

et al. 2018

EJES

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“…和增强型植被指数(EVI) (Huete et al, 2002)。卫星遥感所观测的叶面积指数(LAI) (Zhu et al, 2016)作为重要的植被生物物理变量也被大量应用于植被生长的识别和监测。这些方法提供了有关太阳光吸收分量和植被光合能力的信息 (Xiao et al, 2011), 也被广泛应用于估算总初级生产力(GPP) (Running et al, 2004;Wang et al, 2010) 对黄土高原每一个像元的LAI进行了Mann-Kenddall Mann, 1945;Kendall, 1948 (1)需要确定MLR模型中的一些关键参数, 特别是qL和K DF , 但目前还缺乏冠层尺度qL估算模型;…”

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Assessment of vegetation productivity under the implementation of ecological programs in the Loess Plateau based on solar-induced chlorophyll fluorescence

XUE¹,

LÜ²

2022

Chinese Journal of Plant Ecology

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Aims Based on the solar-induced chlorophyll fluorescence (SIF), this study was conducted to reveal the benefit of vegetation productivity in the revegetation region with a significant increase in land surface greenness under the large-scale implementation of ecological programs in the Loess Plateau.Methods By interpreting satellite-observed terrestrial greenness changes and land use/cover dynamics, we first identified the spatial distribution of revegetation and existing vegetation in the Loess Plateau in the last 20 years. Then, using SIF and meteorological data, the gross primary productivity (GPP) of the revegetation and existing vegetation was calculated according to the revised mechanistic light response (rMLR) model. Finally, we adopted the comparative analysis approach to compare the differences in GPP of the revegetation based on the SIF observations. Important findings Our results indicated that the ecological programs have made a widespread increase in land surface greenness in the Loess Plateau. In the period 2001 to 2020, the area of revegetated forest was 35 000 km 2 , accounting for 7.42% of the total area, whereas revegetated grassland area was 110 000 km 2 , accounting for

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Gross Primary Production of Terrestrial Vegetation

Xiao

Cui

Dong

2013

Springer Remote Sensing/Photogrammetry

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Gross primary production (GPP) of vegetation is the first and important flux of the terrestrial carbon cycle, and there is no direct measurement technique for GPP at ecosystem and landscape scales. A number of satellite-based Light Use Efficiency (LUE) models or Production Efficiency Models (PEM) have been developed to estimate GPP in the past few decades, and they are driven by satellite images with or without climate data. This chapter provides a brief review on some of these LUE models, and illustrates the Vegetation Photosynthesis Model (VPM) through its simulations of C3 crop (soybean) and C4 crop (maize) at the CO2 eddy flux tower site in Nebraska, USA.

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Satellite-Based Modeling of Gross Primary Production of Terrestrial Ecosystems

Cited by 3 publications

References 1 publication

Integrasi Teknologi Pengideraan Jauh dan Sistem Informasi Geografis untuk Estimasi Serapan dan Emisi CO2 di Kota Denpasar

Integrasi Teknologi Pengideraan Jauh dan Sistem Informasi Geografis untuk Estimasi Serapan dan Emisi CO2 di Kota Denpasar

Assessment of vegetation productivity under the implementation of ecological programs in the Loess Plateau based on solar-induced chlorophyll fluorescence

Gross Primary Production of Terrestrial Vegetation

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