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13篇 您的检索式:作者名="PROPASTIN"
    题名 作者 年代 出处 被引量
1Modifying geographically weighted regression for estimating aboveground biomass in tropical rainforests by multispectral remote sensing data显示文摘Pavel Propastin 2012International Journal of Applied Earth Observation and Geolnformation2012,,18:1
2A Physically Based Approach to Model LAI from MODIS 250 m Data in a Tropical Region 显示文摘Propastin P Erasmi E 2010International Journal of Applied Earth Observation and Geoinformation2010,12,1:1
3Simple model for monitoring Balkhash Lake water levels and Ili River discharges:Application of remote sensing显示文摘PROPASTIN P A 0,,:1
4Modeling the regional grazing impact on vegetation carbon sequestration ability in Temperate Eurasian Steppe显示文摘Anthropogenic activities profoundly influence carbon sequestration in the Eurasian Steppe. In particular,grazing has been identified as having a major effect on carbon sequestration. However,the extent to which grazing affects regional patterns or carbon sequestration is unknown. In this study,we evaluated the impact of regional grazing on grassland carbon sequestration using the Boreal Ecosystem Productivity Simulator(BEPS) and the Shiyomi grazing model. Model performances were validated against the results from field measurements and eddy covariance(EC) sites. Model outputs showed that in 2008,the regional net primary productivity(NPP) was 79.5 g Cm^(–2),and the net ecosystem productivity(NEP) was –6.5 g Cm^(–2),characterizing the region as a weak carbon source. The Mongol Steppe(MS) was identified as a carbon sink,whereas the Kazakh Steppe(KS) was either carbon neutral or a weak carbon source. The spatial patterns of grazing density are divergent between the MS and the KS. In the MS,livestock was mainly distributed in China with relatively good management,while in the KS livestock was mainly concentrated in the southern countries(especially Uzbekistan and Turkmenistan) with harsh environments and poor management. The consumption percentages of NPP in Turkmenistan,Tajikistan and Uzbekistan were 5.3,3.3 and 1.2%,respectively,whereas the percentages in other countries were lower than 1%. Correspondingly,grazing consumption contributed to the carbon sources of Turkmenistan,Tajikistan and Uzbekistan by 11.6,6.3 and 4.3%,respectively,while it weakened the carbon sink in Inner Mongolia,China and Mongolia by 1.6 and 0.5%. This regional pattern should be affected by different sub-regional characteristics,e.g.,the continuous degradationof grassland in the southern part of the KS and the restoration of grassland in Inner Mongolia,China.CHEN Yi-zhao SUN Zheng-guo QIN Zhi-hao Pavel Propastin WANG Wei LI Jian-long RUANHong-hua 2017Journal of Integrative Agriculture2017,16,10:1
5A physically based approach to model LAI from MODIS 250<ce:hsp sp='0.25'/>m data in a tropical region显示文摘Pavel Propastin Stefan Erasmi 2009International Journal of Applied Earth Observations and Geoinformation2009,,1:1
6Spatial non - stationafity and scale - dependency of prediction accuracy in the remoteestimation of LAI over a tropical rainforest in Sulawesi, Indonesia显示文摘Propastin P A 2009Remote Sensing of Environment2009,113,:1
7A physically based approach to model LAI from MODIS 250m data in a tropical region显示文摘Propastin Pavel Erasmi Stefan 0,,01:1
8Application of geographically weighted regression to investigate the impact of scale on prediction uncertainty by modelling relationship between vegetation and climate显示文摘Propastin P Kappas M Erasmi S 2008International Journal of Spatial Data Infrastructures Research2008,3,:1
9Sample model for monitoring Balkhash Lake water levels and Ili River discharges:application of remote sensing显示文摘PAVEL A Propastin P A 0,,:1
10Reducing uncertainty in modeling the NDVI-precipitation relationship: A comparative study using global and local regression techniques 显示文摘Propastin P A Kappas M 2008GIScience & Remote Sensing2008,45,:1
11Modifying geographically weighted regression for estimating aboveground biomass in tropical rain- forests by multispectral remote sensing data 显示文摘PROPASTIN P 2012Int JAppl Earth Observ Geoinform2012,18,:1
12Modifying geographically weighted regression for estimating aboveground biomass in tropical rain- forests by muhispeetral remote sensing data 显示文摘PROPASTIN P 2012Int J Appl Earth Observ Geoinf2012,18,1:1
13Modifying geographically weighted regression for estimating aboveground biomass in tropical rainforests by multispectral remote sensing data显示文摘PAVEL Propastin 2012International Journal of Applied Earth Observation and Geoinformation2012,18,:1
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