The use of RPAS for the development of land surface models for natural resources management: a review

2018 ◽  
Vol 19 (3/4) ◽  
pp. 243 ◽  
Author(s):  
Zuriel Dathan Mora Félix ◽  
Jesús Gabriel Rangel Peraza ◽  
Antonio Jesús Sanhouse García ◽  
Gerardo Ramón Flores Colunga ◽  
Abraham E. Rodríguez Mata ◽  
...  
Keyword(s):  
Natural Resources ◽  
Land Surface ◽  
Natural Resources Management ◽  
Land Surface Models ◽  
Resources Management ◽  
Surface Models

The use of RPAS for the development of land surface models for natural resources management: a review

2018 ◽  
Vol 19 (3/4) ◽  
pp. 243
Author(s):  
Zuriel Dathan Mora Félix ◽  
Yaneth A. Bustos Terrones ◽  
Antonio Jesús Sanhouse García ◽  
Abraham E. Rodríguez Mata ◽  
Gerardo Ramón Flores Colunga ◽  
...  
Keyword(s):  
Natural Resources ◽  
Land Surface ◽  
Natural Resources Management ◽  
Land Surface Models ◽  
Resources Management ◽  
Surface Models

scholarly journals Calibration of LaD Model in the Northeast United States Using Observed Annual Streamflow

2007 ◽  
Vol 8 (5) ◽  
pp. 1098-1110 ◽  
Author(s):  
Y. Xia
Keyword(s):  
United States ◽  
Land Surface ◽  
Land Surface Models ◽  
Northeastern United States ◽  
Energy Fluxes ◽  
Annual Streamflow ◽  
Reasonable Estimate ◽  
Model Parameter ◽  
Resources Management ◽  
Surface Models

Abstract Calibration of land surface models improves simulations of surface water and energy fluxes and provides important information for water resources management. However, most calibration studies focus on local sites and/or small catchments because of computational limitations, lack of atmospheric forcing data, and lack of observed water and energy fluxes. Even though a well-established streamflow gauge network exists, its data are not well suited to the calibration of land surface models in cold regions because of large systematic precipitation biases. This study provides a newly developed method to adjust systematic precipitation biases arising from gauge undercatch (e.g., wind blowing, wetting loss, and evaporation loss). The new method estimates model parameter and precipitation errors simultaneously through the use of observed annual streamflow in the northeastern United States. The results show that this method improves streamflow simulations and gives a reasonable estimate for systematic precipitation bias. In addition, the impacts of model parameter errors on the calibration of the Land Dynamics (LaD) model and on the estimation of systematic precipitation biases are investigated in the northeastern United States.

Regional Policy in the Field of Natural Resources Management in the Far North

2003 ◽  
pp. 108-116
Author(s):  
A. Bykov
Keyword(s):  
Economic Development ◽  
Natural Resources ◽  
Regional Policy ◽  
Natural Resources Management ◽  
Economic Factors ◽  
Resource Saving ◽  
Resources Management ◽  
Legal Norms ◽  
Far North ◽  
The Russian Federation

According to the legal norms of the Russian Federation in the ownership, usage and disposal of natural resources the author analyses interaction between natural resources users and local authorities. The interaction is based upon ecological and economic factors, which cause the peculiarities of requirements put before natural resource users in the Far North. The strategic directions of resource saving economic development of these regions are considered.

Growing industrialization and poor conservation planning challenge natural resources' management in the Amazon Shelf off Brazil

Marine Policy ◽  
2021 ◽  
Vol 128 ◽  
pp. 104465
Author(s):  
Laís S. Araujo ◽  
Ulises Rodrigo Magdalena ◽  
Tayana S. Louzada ◽  
Paulo S. Salomon ◽  
Fernando C. Moraes ◽  
...  
Keyword(s):  
Natural Resources ◽  
Conservation Planning ◽  
Natural Resources Management ◽  
Resources Management ◽  
Amazon Shelf
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