A cross|scale remote sensing approach to estimate tree cover and ...

A cross-scale remote sensing approach to estimate tree cover and ...

Here we developed a synoptic remote sensing approach to scale up pinyon pine and juniper cover and biomass field observations from plot to regional levels using ...

A cross-scale remote sensing approach to estimate tree cover and ...

A cross-scale remote sensing approach to estimate tree cover and aboveground biomass in pinyon-juniper woodlands of the Colorado Plateau, USA ... To read the full ...

Remotely sensed tree canopy cover-based indicators for monitoring ...

Given the current conceptual understanding of what a forest is, canopy cover threshold values are used to map forest cover from remote sensing imagery and ...

High-resolution forest canopy cover estimation in ecodiverse ...

developed a methodology using Google Earth Engine and Landsat satellite imagery that provides high-resolution global maps, including tree canopy data for the ...

Assessing Tree Cover in Agricultural Landscapes Using High ...

India included TOF in its forest monitoring program and used a remote sensing approach to assess their extent (Rawat et al., 2004). In Manitoba, Canada, the ...

The Use of Remote Sensing Data to Estimate Land Area with Forest ...

For accuracy analysis, a reference in the form of manual vectoring of the areas with forest vegetation on the sample plots, canopy height model ...

Generation of Continental Scale Percent Tree Cover Product Using ...

Spatially explicit percent tree cover (TC) estimation is critical for mapping forest aboveground biomass and its dynamics.

Mapping tree species diversity of temperate forests using multi ...

These studies demonstrated the potential of forest diversity estimations based on SVH, combined with a machine learning approach and medium-resolution satellite ...

Current remote sensing approaches to monitoring forest ...

Interferometric SAR and LiDAR have found new application in linking forest structure change to degradation in tropical forests. Estimates of AGB ...

Remote sensing in forestry: current challenges, considerations and ...

Global forest cover and change products (Hansen et ... remotely sensed data can characterize estimates of the forest attribute of interest.

A Methodological Framework for Mapping Canopy Cover Using ...

Random Forest (RF) regression was selected as the modeling approach, given demonstrated success in forest structural mapping with remote sensing data, including ...

A survey of remote sensing-based aboveground biomass estimation ...

More research is needed to extract a vertical vegetation structure (e.g. canopy height) from interferometry synthetic aperture radar (InSAR) or optical stereo ...

Improved Fine-Scale Tropical Forest Cover Mapping for Southeast ...

We found that our approach overall achieved higher accuracy and helped minimize the rounding errors commonly found along small or narrow forest ...

Mapping carbon storage in urban trees with multi-source remote ...

estimate tree biomass in urban areas, 3) how the spatial scale of remote ... and biomass, 2) the spatial scale of remote sensing data strongly influ- ences ...

Leveraging Depth Foundation Models for Canopy Height Estimation

One promising alternative is to develop a canopy height estimator that uses single-view remotely sensed image. However, this approach faces the ...

New approach to calculating tree height at the regional scale

In this paper, we used a semi-variance model to calculate the CD using high spatial resolution images and expanded this method to the regional ...

A remote sensing derived data set of 100 million individual tree ...

To assess the utility of our approach for mapping forest structure, we compared remotely sensed predictions of maximum tree height to field ...

A cross-comparison of field, spectral, and lidar estimates of forest ...

This study assesses the statistical equivalence of canopy cover estimates derived via both spectral and lidar with field measurements. Results show that each ...

Individual tree-based vs pixel-based approaches to mapping forest ...

Compared with traditional field survey (which typically samples individual trees), remote sensing enables quantifying functional traits over ...

A cross-comparison of field, spectral, and lidar estimates of forest ...

The results also show that in plots where the mean lidar plot heights are near zero, each of modeled remotely sensed estimates continues to report canopy cover ...