Grassland Productivity Simulation: Integrating Remote Sensing and an Ecosystem Process Model

2015 ◽  
pp. 155-169
Author(s):  
Yuhong He ◽  
Zhangbao Ma ◽  
Xulin Guo
Keyword(s):  
Remote Sensing ◽  
Process Model ◽  
Ecosystem Process ◽  
Grassland Productivity

Modelling carbon fluxes of different forests by coupling a remote-sensing model with an ecosystem process model

2011 ◽  
Vol 32 (21) ◽  
pp. 6539-6567 ◽  
Author(s):  
Junbang Wang ◽  
Jiyuan Liu ◽  
Mingkui Cao ◽  
Yunfeng Liu ◽  
Guirui Yu ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Process Model ◽  
Carbon Fluxes ◽  
Ecosystem Process ◽  
Remote Sensing Model ◽  
Sensing Model

Groundwater potential zonation for basaltic watersheds using satellite remote sensing data and GIS techniques

2009 ◽  
Vol 1 (1) ◽  
Author(s):  
Biswajeet Pradhan
Keyword(s):  
Remote Sensing ◽  
Process Model ◽  
Remote Sensing Data ◽  
Groundwater Potential ◽  
Remotely Sensed Data ◽  
Drainage Pattern ◽  
Ancillary Data ◽  
Sensing Data ◽  
Gis Techniques ◽  
Gis Tools

AbstractThis paper summarizes the findings of groundwater potential zonation mapping at the Bharangi River basin, Thane district, Maharastra, India, using Satty’s Analytical Hierarchal Process model with the aid of GIS tools and remote sensing data. To meet the objectives, remotely sensed data were used in extracting lineaments, faults and drainage pattern which influence the groundwater sources to the aquifer. The digitally processed satellite images were subsequently combined in a GIS with ancillary data such as topographical (slope, drainage), geological (litho types and lineaments), hydrogeomorphology and constructed into a spatial database using GIS and image processing tools. In this study, six thematic layers were used for groundwater potential analysis. Each thematic layer’s weight was determined, and groundwater potential indices were calculated using groundwater conditions. The present study has demonstrated the capabilities of remote sensing and GIS techniques in the demarcation of different groundwater potential zones for hard rock basaltic basin.

Linking ecophysiology and forest productivity: An overview of the ECOLEAP project

1999 ◽  
Vol 75 (3) ◽  
pp. 417-421 ◽  
Author(s):  
P. Y. Bernier ◽  
R. A. Fournier ◽  
C. H. Ung ◽  
G. Robitaille ◽  
G. R. Larocque ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Process Model ◽  
Spatial Databases ◽  
Net Primary Productivity ◽  
Forest Productivity ◽  
Forest Service ◽  
Service Research ◽  
Spatially Explicit ◽  
Quebec City ◽  
Environmental Controls

ECOLEAP is a Canadian Forest Service research project that is aimed at improving our understanding of the environmental controls on boreal and sub-boreal forest productivity and at developing tools for predicting stand-level forest productivity over large areas. This interdisciplinary project combines, in a coordinated manner, ecophysiological and soils research, remote sensing research, development of scaling up procedures and process modelling of net primary productivity on a common set of field sites. The process research is carried out in different forest types across large climatic and productivity gradients. Remote sensing provides timely stand information such as composition, leaf area, and absorbed radiation that are not currently available in existing spatial databases. A geographic information system is used to integrate the diverse sources of data. Models serve both as integrators of knowledge and as vehicles for the transfer of the information and methodologies to resource managers. Currently there are three interrelated modelling exercises being carried out within ECOLEAP to address different objectives of the project: an empirical, spatially explicit model of site index, a site-specific process model of productivity, and a spatially explicit process model of productivity. Application of the spatially explicit models will be conducted on extensive pilot regions, the first of which is located north of Quebec City. Key words: modelling, GIS, remote sensing, Canadian Forest Service

scholarly journals Global net carbon exchange and intra-annual atmospheric CO2concentrations predicted by an ecosystem process model and three-dimensional atmospheric transport model

1996 ◽  
Vol 10 (3) ◽  
pp. 431-456 ◽  
Author(s):  
E. Raymond Hunt ◽  
Stephen C. Piper ◽  
Ramakrishna Nemani ◽  
Charles D. Keeling ◽  
Ralf D. Otto ◽  
...  
Keyword(s):  
Process Model ◽  
Transport Model ◽  
Atmospheric Transport ◽  
Three Dimensional ◽  
Carbon Exchange ◽  
Ecosystem Process ◽  
Net Carbon Exchange ◽  
Atmospheric Transport Model
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