Utah Science Spring/Summer 2020

Page 16

Photo courtesy of Douglas Ramsey.

Unmanned Aerial Systems Monitor Mine Reclamation Success By Lynnette Harris and Douglas Ramsey

O

ften, the best way to see what’s

happening

on

the

ground is from the air, espe-

cially when the goal is to monitor the condition of large areas as they change over time.

A collaboration between Utah State

University’s Remote Sensing/GIS Lab and the Utah Division of Oil Gas and Mines (DOGM) is developing an effective

landscape-monitoring tool to help land managers evaluate reclamation activities across the state.

The current test site is the Wilberg-

Cottonwood coal mine located near

Castle Dale, Utah, which has undergone reclamation activities to return the mine

14 Utah Science

site to natural conditions. It is PacifiCorp’s responsibility to do reclamation work at the

site, and the partnership has yielded important data and tested methods that can

be applied to monitoring and managing other disturbed sites.

Drones equipped with high-resolution

cameras capture images that are paired

with topographic data and allow the team to monitor changes where soils were

“pocked” by a trackhoe to produce thousands of micro-watersheds and support

new vegetation. The approximately 13,500 pocks in the reclaimed area slow water

as it moves downhill, curbing erosion and

trapping water which aids nearby plants. Over time, seeded vegetation will grow and

the pocks will fill with sediment, leaving the landscape in a semi-natural condition. The aerial images allow the DOGM to

monitor the landscape in detail which was not available to land managers in the past.

Scientists and land managers will be able to build on the aerial and ground-based

data to create a template for monitoring other reclamation sites.

Researchers involved in the project

are in USU’s Department of Wildland

Resources: Douglas Ramsey, professor and director of the Remote Sensing/GIS Laboratory; Christopher McGinty, associate professor and the lab’s associate

director; and graduate research assistant Christopher Brown. ¤


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