System and method for forest management using stand development performance as measured by LAI

• US 8,775,119 B2
• Filed: 03/30/2011
• Issued: 07/08/2014
• Est. Priority Date: 03/30/2011
• Status: Active Grant

• Current Assignee: Weyerhaeuser NR Company (Weyerhauser)
• Original Assignee: Weyerhaeuser NR Company (Weyerhauser)
• Inventors: Rojas, Julio C.
• Primary Examiner(s): Teixeira Moffat, Jonathan C
• Assistant Examiner(s): VO, HIEN XUAN
• Application Number:
  US13/076,086
• Publication Number:
  US 20120253740A1
• Time in Patent Office: 1,196 Days
• Field of Search: 702/156
• US Class Current: 702/156
• CPC Class Codes: A01G 23/00 Forestry
• CPC Class Codes: G01B 11/28 for measuring areas
• CPC Class Codes: G01B 21/28 for measuring areas
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 50/02 Agriculture; Fishing; Forestry; Mining

Abstract

A system and method for identifying stands or portions thereof that are not growing as expected. In one embodiment, a computer system compares a measured leaf area index of a stand that is determined from remotely sensed data to an expected leaf area index. The computer system identifies stands or portions of stands where the measured leaf area index is greater than the expected leaf area index and/or stands or portions of stands where the measured leaf area index is less than the expected leaf area index. In one embodiment, the comparison is used to identify stands or portions thereof where silviculture treatments may be necessary.

Claims

1. A computer system comprising:

a memory for storing a sequence of program instructions;

processor electronics configured to execute the program instructions to identify stands of vegetation that are not growing as expected by;

measuring a leaf area index for a stand of vegetation or portion thereof of a certain age;

comparing the measured leaf area index to an expected leaf area index determined for an age of vegetation corresponding to the age of the vegetation in the stand; and

identifying stands or portions thereof as over performing or underperforming where the measured leaf area index differs from the expected leaf area index.

2. The computer system of claim 1, wherein the processor electronics are configured to execute program instructions to produce a map that indicates one or more stands or portions thereof where the measured leaf area index is above the expected leaf area index.

3. The computer system of claim 1, wherein the processor electronics are configured to execute program instructions to produce a map that indicates one or more stands or portions thereof where the measured leaf area index is below the expected leaf area index.

4. The computer system of claim 1, wherein the processor electronics are configured to execute program instructions to measure the leaf area index of a stand from LiDAR data.

5. The computer system of claim 1, wherein the processor electronics are configured to execute program instructions to measure the leaf area index of a stand from satellite image data.

6. The computer system of claim 1, wherein the processor electronics are configured to execute program instructions to measure the leaf area index of a stand from aerial multispectral data.

7. The computer system of claim 1, wherein the processor electronics are configured to execute program instructions to measure the leaf area index of a stand from aerial hyperspectral data.

8. The computer system of claim 1, wherein the processor electronics are configured to produce a report listing one or more silviculture treatments to be applied to a stand based on the comparison of the measured leaf area index and the expected leaf area index.

9. A non-transitory computer readable media with instructions thereon that are executable by processor electronics to identify stands that are not growing as expected by:

measuring a leaf area index for a stand of vegetation or portion thereof of a certain age;

comparing the measured leaf area index to an expected leaf area index determined for an age of vegetation corresponding to the age of the vegetation in the stand; and

identifying stands or portions thereof as over performing or underperforming where the measured leaf area index differs from the expected leaf area index.

10. The non-transitory computer readable media of claim 9, further comprising:

instructions executable by the processor electronics to produce a map that indicates one or more stands or portions thereof where the determined leaf area index is above the expected leaf area index.

11. The non-transitory computer readable media of claim 9, further comprising:

instructions executable by the processor electronics to produce a map that indicates one or more stands or portions thereof where the measured leaf area index is below the expected leaf area index.

12. The non-transitory computer readable media of claim 9, further comprising:

instructions executable by the processor electronics to measure the leaf area index of a stand from LiDAR data.

13. The non-transitory computer readable media of claim 9, further comprising:

instructions executable by the processor electronics to determine a leaf area index of a stand from satellite image data.

14. The non-transitory computer readable media of claim 9, further comprising:

instructions executable by the processor electronics to measure a leaf area index of a stand from aerial multispectral data.

15. The non-transitory computer readable media of claim 9, further comprising:

instructions executable by the processor electronics to measure a leaf area index of a stand from aerial hyperspectral data.

16. The non-transitory computer readable media of claim 9, further comprising:

instructions executable by the processor electronics produce a report, listing one or more silviculture treatments to be applied to a stand based on the comparison of the measured leaf area index and the expected leaf area index.