Plant phenomics: An overview of image acquisition technologies and image data analysis algorithms

F Perez-Sanz, PJ Navarro, M Egea-Cortines - GigaScience, 2017 - academic.oup.com
The study of phenomes or phenomics has been a central part of biology. The field of
automatic phenotype acquisition technologies based on images has seen an important …

Closing the gap between phenotyping and genotyping: review of advanced, image-based phenotyping technologies in forestry

L Bian, H Zhang, Y Ge, J Čepl, J Stejskal… - Annals of Forest …, 2022 - Springer
Key message The lack of efficient phenotyping capacities has been recognized as a
bottleneck in forestry phenotyping and breeding. Modern phenotyping technologies use …

Estimating aboveground biomass in subtropical forests of China by integrating multisource remote sensing and ground data

R Zhang, X Zhou, Z Ouyang, V Avitabile, J Qi… - Remote Sensing of …, 2019 - Elsevier
The biomass of the subtropical forests of China is an important component of the global
carbon cycle. Recently, several above ground biomass (AGB) maps have been produced …

Prediction of forest aboveground biomass using multitemporal multispectral remote sensing data

P Naik, M Dalponte, L Bruzzone - Remote Sensing, 2021 - mdpi.com
Forest aboveground biomass (AGB) is a prime forest parameter that requires global level
estimates to study the global carbon cycle. Light detection and ranging (LiDAR) is the state …

Estimation of the canopy height model from multispectral satellite imagery with convolutional neural networks

S Illarionova, D Shadrin, V Ignatiev… - IEEE …, 2022 - ieeexplore.ieee.org
The canopy height model (CHM) is a representation of the height of the top of vegetation
from the surrounding ground level. It is crucial for the extraction of various forest …

Assessing relationship of forest biophysical factors with NDVI for carbon management in key coniferous strata of temperate Himalayas

AA Wani, AF Bhat, AA Gatoo, S Zahoor… - … Adaptation Strategies for …, 2021 - Springer
Assessing biophysical variables are essential for evaluation of carbon dynamics due to
anthropogenic activities. Biomass carbon is an important biophysical parameter of forest …

Comparison of forest canopy height profiles in a mountainous region of Taiwan derived from airborne lidar and unmanned aerial vehicle imagery

CH Chung, CH Wang, HC Hsieh… - GIScience & Remote …, 2019 - Taylor & Francis
Tree height is essential for assessing carbon budgets and biodiversity. One of the most
commonly used assessment methods is a field survey. However, this approach is extremely …

Evaluating statistical and combine method to predict stand above-ground biomass using remotely sensed data

S Bulut, F Sivrikaya, A Günlü - Arabian Journal of Geosciences, 2022 - Springer
Above-ground biomass (AGB) is a key parameter as indicator of forest carbon content and
ecosystem productivity. Producing highly predictive models and spatial distribution of AGB …

Combining allometry and landsat-derived disturbance history to estimate tree biomass in subtropical planted forests

L Fang, J Yang, W Zhang, W Zhang, Q Yan - Remote Sensing of …, 2019 - Elsevier
Planted forests are a key component of sustainable forest management, as their fast-
growing biomass can provide many important ecosystem goods and services essential to …

Text mining in remotely sensed phenology studies: A review on research development, main topics, and emerging issues

S Bajocco, E Raparelli, T Teofili, M Bascietto, C Ricotta - Remote Sensing, 2019 - mdpi.com
As an interdisciplinary field of research, phenology is developing rapidly, and the contents of
phenological research have become increasingly abundant. In addition, the potentiality of …