Detection of forest disturbance across California using deep ...

We introduce a novel method of tracking California forest cover using a supervised U-Net deep learning architecture and PlanetScope's Visual dataset.

(PDF) Detection of forest disturbance across California using deep ...

We introduce a novel method of tracking California forest cover using a supervised U-Net deep learning architecture and PlanetScope's Visual ...

Detection of forest disturbance across California using ... - NASA ADS

We compared our high-resolution disturbance maps with wildfire GIS survey data from CALFIRE, and satellite-based forest cover changes and achieved an F-1 score ...

Detection of forest disturbance across California using deep ... - CoLab

California forests have recently experienced record breaking wildfires and tree mortality from droughts, However, there is inadequate monitoring, ...

Robin Cole on X: "Detection of forest disturbance across California ...

Sharing our new paper led by Griffin Carter @gc_sci : "Detection of forest disturbance across California using deep-learning on PlanetScope imagery" ...

Satellite detection of canopy-scale tree mortality and survival from ...

The trained ST-CNN provides an ecologically detailed estimation of the pre-disturbance forest composition (trees, shrubs, non-woody) and their ...

https://www.frontiersin.org/journals/remote-sensing/articles/10.3389 ...

... across the state, allowing detection of forest disturbance at the time of occurrence and at the tree level. However, working with the PlanetScope imagery ...

Development and Application of a Sentinel-2 Satellite Imagery ...

With increasing concerns over forest disturbance ... Automated forest fire detection using atom search optimizer with deep transfer learning model ...

Satellite detection of canopy-scale tree mortality and survival from ...

Satellite detection of canopy-scale tree mortality and survival from California wildfires with spatio-temporal deep learning ... Abstract. Mapping forest ...

OUCI

Detection of forest disturbance across California using deep-learning on PlanetScope imagery. Griffin Carter, Fabien H. Wagner, Ricardo Dalagnol, Sophia ...

Sub-meter tree height mapping of California using aerial images ...

We evaluated the performance of the deep-learning model using 42 independent 1 km 2 areas across various forest types and landscape variations ...

Human activities degraded a California-sized area of tropical forests ...

A new data platform from CTrees, REDD+AI, is the first to measure forest degradation from logging, fire, and road construction across all tropical forests.

Forest Disturbances and their Causes in California - Landsat Science

Our research found that sub-annual Landsat time series are extremely effective at detecting the occurrence of forest disturbance and quite good ...

Scattered tree death contributes to substantial forest loss in California

We identified 91.4 million dead trees from 2020 NAIP images with 19.5 million appearing solo within 30 × 30 grids. Bark beetles and fires are ...

Vegetation change detection and recovery assessment based on ...

These effects can be understood by detecting vegetation change over the years using a novel unsupervised method termed Deep Embedded Clustering ...

Annual forest disturbance intensity mapped using Landsat time ...

Central California Valley along the Pacific coast and Southeastern ... Detecting trends in forest disturbance and recovery using yearly ...

Losses of Tree Cover in California Driven by Increasing Fire ...

We mapped annual disturbance and vegetation change in California from 1985 to 2021 using time series remote sensing and geospatial data Tree ...

Detection and characterization of forest disturbances in California

Many studies have made use of time series analyses of Landsat imagery to study forest disturbance events at a variety of scales, but few have endeavored to ...

(PDF) Evaluating deep learning methods applied to Landsat time ...

The monitoring of forest ecosystems is significantly affected by the lack of consistent historical data of low-severity (forest partially ...

Innovations in Measuring and Managing Forest Carbon Stocks in ...

Over a century of fire suppression complicates managing forest carbon in California's ... Detecting trends in forest disturbance and recovery using yearly Landsat ...