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You searched for subject:(cost plus loss). Showing records 1 – 5 of 5 total matches.

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Colorado State University

1. Ha, Anh Quang. Sampling strategies for forest aerial detection survey in Colorado.

Degree: PhD, Forest and Rangeland Stewardship, 2016, Colorado State University

 Aerial detection survey (ADS) has been commonly employed in forest surveys in the United States for detecting forest damage and monitoring forest health. In Colorado,… (more)

Subjects/Keywords: Colorado forests; forest insects and diseases; loss plus cost analysis; sampling strategies

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APA (6th Edition):

Ha, A. Q. (2016). Sampling strategies for forest aerial detection survey in Colorado. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/170372

Chicago Manual of Style (16th Edition):

Ha, Anh Quang. “Sampling strategies for forest aerial detection survey in Colorado.” 2016. Doctoral Dissertation, Colorado State University. Accessed December 05, 2019. http://hdl.handle.net/10217/170372.

MLA Handbook (7th Edition):

Ha, Anh Quang. “Sampling strategies for forest aerial detection survey in Colorado.” 2016. Web. 05 Dec 2019.

Vancouver:

Ha AQ. Sampling strategies for forest aerial detection survey in Colorado. [Internet] [Doctoral dissertation]. Colorado State University; 2016. [cited 2019 Dec 05]. Available from: http://hdl.handle.net/10217/170372.

Council of Science Editors:

Ha AQ. Sampling strategies for forest aerial detection survey in Colorado. [Doctoral Dissertation]. Colorado State University; 2016. Available from: http://hdl.handle.net/10217/170372


Swedish University of Agricultural Sciences

2. Roberge, Cornelia. Inventory strategies for monitoring and evaluation of forest damage.

Degree: 2017, Swedish University of Agricultural Sciences

 Under global change, increasing stresses on forests require strategies for monitoring and mitigation of damages caused by pests and diseases. While the threats to forests… (more)

Subjects/Keywords: forest trees; forest pests; forest inventories; forest surveys; sampling; monitoring; population density; evaluation; cost-plus-loss; forest damage; forest inventory; forest pests; Monte-Carlo simulation; survey sampling; target tailored inventories

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APA (6th Edition):

Roberge, C. (2017). Inventory strategies for monitoring and evaluation of forest damage. (Doctoral Dissertation). Swedish University of Agricultural Sciences. Retrieved from https://pub.epsilon.slu.se/13925/

Chicago Manual of Style (16th Edition):

Roberge, Cornelia. “Inventory strategies for monitoring and evaluation of forest damage.” 2017. Doctoral Dissertation, Swedish University of Agricultural Sciences. Accessed December 05, 2019. https://pub.epsilon.slu.se/13925/.

MLA Handbook (7th Edition):

Roberge, Cornelia. “Inventory strategies for monitoring and evaluation of forest damage.” 2017. Web. 05 Dec 2019.

Vancouver:

Roberge C. Inventory strategies for monitoring and evaluation of forest damage. [Internet] [Doctoral dissertation]. Swedish University of Agricultural Sciences; 2017. [cited 2019 Dec 05]. Available from: https://pub.epsilon.slu.se/13925/.

Council of Science Editors:

Roberge C. Inventory strategies for monitoring and evaluation of forest damage. [Doctoral Dissertation]. Swedish University of Agricultural Sciences; 2017. Available from: https://pub.epsilon.slu.se/13925/


Swedish University of Agricultural Sciences

3. Duvemo, Karl. The influence of data uncertainty on planning and decision processes in forest management.

Degree: 2009, Swedish University of Agricultural Sciences

 This thesis focuses on how uncertainty in forest data affects the outcome of management planning and decision making. In a review article (paper I), previous… (more)

Subjects/Keywords: forest inventories; planning; decision making; data analysis; Forest inventory; data evaluation; cost plus loss analysis; tactical planning; operational planning; decision support system; simulation of data errors; optimization

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APA (6th Edition):

Duvemo, K. (2009). The influence of data uncertainty on planning and decision processes in forest management. (Doctoral Dissertation). Swedish University of Agricultural Sciences. Retrieved from http://pub.epsilon.slu.se/1924/

Chicago Manual of Style (16th Edition):

Duvemo, Karl. “The influence of data uncertainty on planning and decision processes in forest management.” 2009. Doctoral Dissertation, Swedish University of Agricultural Sciences. Accessed December 05, 2019. http://pub.epsilon.slu.se/1924/.

MLA Handbook (7th Edition):

Duvemo, Karl. “The influence of data uncertainty on planning and decision processes in forest management.” 2009. Web. 05 Dec 2019.

Vancouver:

Duvemo K. The influence of data uncertainty on planning and decision processes in forest management. [Internet] [Doctoral dissertation]. Swedish University of Agricultural Sciences; 2009. [cited 2019 Dec 05]. Available from: http://pub.epsilon.slu.se/1924/.

Council of Science Editors:

Duvemo K. The influence of data uncertainty on planning and decision processes in forest management. [Doctoral Dissertation]. Swedish University of Agricultural Sciences; 2009. Available from: http://pub.epsilon.slu.se/1924/


Swedish University of Agricultural Sciences

4. Holmström, Hampus. Data acquisition for forestry planning by remote sensing based sample plot imputation.

Degree: 2001, Swedish University of Agricultural Sciences

 In forestry planning, accurate description of the state of the forests is essential. Advanced planning models often require input data with high resolution, i.e. data… (more)

Subjects/Keywords: aerial surveying; cost analysis; evaluation; forest inventories; forestry; methods; photography; planning; remote sensing; forestry; aerial photography; cost-plus-loss analysis; forest assessment; individual tree data; multisource data; nonparametric estimation.

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Holmström, H. (2001). Data acquisition for forestry planning by remote sensing based sample plot imputation. (Doctoral Dissertation). Swedish University of Agricultural Sciences. Retrieved from http://pub.epsilon.slu.se/29/

Chicago Manual of Style (16th Edition):

Holmström, Hampus. “Data acquisition for forestry planning by remote sensing based sample plot imputation.” 2001. Doctoral Dissertation, Swedish University of Agricultural Sciences. Accessed December 05, 2019. http://pub.epsilon.slu.se/29/.

MLA Handbook (7th Edition):

Holmström, Hampus. “Data acquisition for forestry planning by remote sensing based sample plot imputation.” 2001. Web. 05 Dec 2019.

Vancouver:

Holmström H. Data acquisition for forestry planning by remote sensing based sample plot imputation. [Internet] [Doctoral dissertation]. Swedish University of Agricultural Sciences; 2001. [cited 2019 Dec 05]. Available from: http://pub.epsilon.slu.se/29/.

Council of Science Editors:

Holmström H. Data acquisition for forestry planning by remote sensing based sample plot imputation. [Doctoral Dissertation]. Swedish University of Agricultural Sciences; 2001. Available from: http://pub.epsilon.slu.se/29/


Swedish University of Agricultural Sciences

5. Barth, Andreas. Spatially comprehensive data for forestry scenario analysis.

Degree: 2007, Swedish University of Agricultural Sciences

 This thesis focuses on the use of forest data for national level policy making. Three major issues were considered: (i) to determine typical requirements of… (more)

Subjects/Keywords: forest inventories; planning; decision making; decision support; data collection; data analysis; forest inventory; data acquisition; forest management; decision support systems; forestry scenario analysis; data requirements; national level forest planning; decision-making; policy-making; cost-plus-loss analysis; medium-resolution satellite data; laser scanner data; national forest inventory; data usability; optimisation; imputation

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Barth, A. (2007). Spatially comprehensive data for forestry scenario analysis. (Doctoral Dissertation). Swedish University of Agricultural Sciences. Retrieved from http://pub.epsilon.slu.se/1613/

Chicago Manual of Style (16th Edition):

Barth, Andreas. “Spatially comprehensive data for forestry scenario analysis.” 2007. Doctoral Dissertation, Swedish University of Agricultural Sciences. Accessed December 05, 2019. http://pub.epsilon.slu.se/1613/.

MLA Handbook (7th Edition):

Barth, Andreas. “Spatially comprehensive data for forestry scenario analysis.” 2007. Web. 05 Dec 2019.

Vancouver:

Barth A. Spatially comprehensive data for forestry scenario analysis. [Internet] [Doctoral dissertation]. Swedish University of Agricultural Sciences; 2007. [cited 2019 Dec 05]. Available from: http://pub.epsilon.slu.se/1613/.

Council of Science Editors:

Barth A. Spatially comprehensive data for forestry scenario analysis. [Doctoral Dissertation]. Swedish University of Agricultural Sciences; 2007. Available from: http://pub.epsilon.slu.se/1613/

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