Deep Learning for Urban Tree Canopy Coverage Analysis

Deep Learning for Urban Tree Canopy Coverage Analysis - MDPI

Urban tree canopy (UTC) coverage, or area, is an important metric for monitoring changes in UTC over large areas within a municipality.

Urban Tree Cover and Canopy Height: Deep Learning Models ...

Analyzing tree coverage in urban areas at a detailed scale is crucial. Recently, deep learning models have been developed to estimate tree ...

Modelling tree canopy cover and evaluating the driving factors ...

This study calculates urban percent tree cover (PTC) for Bursa city, Turkey from Sentinel-2 data and evaluates the driving factors of PTC

Nationwide urban tree canopy mapping and coverage assessment ...

To better service Brazil's urban ecosystem, this study developed a semi-supervised deep learning method, which is able to learn semantic segmentation knowledge ...

Canopy Cover Segmentation From Aerial Imagery Using Deep ...

For this project, we started with developing a neural network that segments tree canopy from 2020 NAIP imagery in urban areas in the Southern California Coast ...

Deep Learning-Based Detection of Urban Forest Cover Change ...

The findings reveal significant changes in forest covers alongside urban environmental changes. Based on the accuracy assessment, the networks ...

(PDF) Application and Evaluation of a Deep Learning Architecture to ...

In this study, we apply a deep learning model, the U-net, to urban tree canopy mapping using high-resolution aerial photographs. We evaluate the ...

Urban tree canopy mapping -an open source deep learning approach

The aerial images from Lantmäteriet (the Swedish mapping cadastral and land registration authority) is a great source for image analysis on high resolution ...

Treepedia 2.0: Applying Deep Learning for Large-Scale ...

Here, we focus on measuring urban tree cover using Google Street View. (GSV) images. First, we provide a small-scale labelled vali- dation dataset and propose ...

(PDF) Semantic Segmentation of Tree-Canopy in Urban ...

With the advance of environmental technologies, deep learning segmentation mapping methods can map urban forests accurately. We applied a region ...

A 0.5-meter resolution urban tree canopy dataset for 888 cities in ...

"Nationwide urban tree canopy mapping and coverage assessment in Brazil from high-resolution remote sensing images using deep learning.

Mapping Urban Tree Canopy Using Publicly Available Satellite Data

... Cover Database (NLCD) is known to underestimate tree canopy cover in urban areas. I developed a machine learning approach to mapping urban tree ...

Identifying Urban Canopy Coverage from Satellite Imagery Using ...

[24] benchmarked dif- ferent classical machine learning techniques for identifying canopy coverage from ... Measuring the tree canopy cover in london: An analysis ...

Everything You Need to Know About AI-Driven Tree Canopy Data

AI-driven tree canopy data is sub-meter resolution land cover data providing information on the presence and absence of trees, capturing individual trees and ...

Monitoring canopy quality and improving equitable outcomes of ...

We present a novel pipeline that uses airborne LiDAR data to train a multi-task machine learning model to generate estimates of both canopy cover and height in ...

Modelling tree canopy cover and evaluating the driving factors ...

Quantifying urban tree cover is important to ensure sustainable urban ecosystem. This study calculates urban percent tree cover (PTC) for Bursa city, ...

Machine Learning to Drive Urban Resilience: Mapping Tree Canopy ...

As one of seven pilot programs to address environmental issues in Africa, Azavea trained student workers to label satellite imagery using ...

Estimation of Fractional Urban Tree Canopy Cover through Machine ...

Consequently, this study employed freely accessible, high-resolution multispectral satellite imagery (i.e., Sentinel-2 data) to estimate fractional tree canopy ...

A globally diverse dataset of high-resolution tree cover maps - arXiv

Recent works have shown that deep learning-based segmentation algorithms are capable of accurately mapping trees at country and continental ...

Urban Tree Canopy and Artificial Intelligence | PlanIT Geo™

At the core of this is our novel approach of using artificial intelligence (AI) and machine learning to develop high-resolution land cover data.