DETECTING FOREST FIRES IN SOUTHWEST CHINA FROM REMOTE SENSING NIGHTTIME LIGHTS USING THE RANDOM FOREST CLASSIFICATION MODEL

Detecting Forest Fires in Southwest China From Remote Sensing Nighttime Lights Using the Random Forest Classification Model

Forest fires are one of the most common natural disasters and public crisis events, presenting a serious threat to the ecosystem and human security.The traditional forest fire monitoring is time-consuming and inaccurate, but nighttime light remote sensing is enhancing the efficiency and speed of forest fire detection.Thus, this study focused on for

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A simple method for calculating minimum estimates of previous population sizes of wildlife from hunting records.

Hunting records have proven useful for examining the historical status of wildlife populations.The number of animals harvested can provide information on past population sizes that would have been required to support harvest yields.Therefore, when statistical data on annual harvests are available, a minimum estimate of past population sizes can be

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