A Selection of Experiments for Understanding the Strengths of Time Series SAR Data Analysis for Finding the Drivers Causing Phenological Changes in Paphos Forest, Cyprus
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A Selection of Experiments for Understanding the Strengths of Time Series SAR Data Analysis for Finding the Drivers Causing Phenological Changes in Paphos Forest, Cyprus
Authors
Keywords
-
Journal
Remote Sensing
Volume 14, Issue 15, Pages 3581
Publisher
MDPI AG
Online
2022-07-27
DOI
10.3390/rs14153581
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Time Series Analysis of Landsat Data for Investigating the Relationship between Land Surface Temperature and Forest Changes in Paphos Forest, Cyprus
- (2022) Vassilis Andronis et al. Remote Sensing
- Synergistic evaluation of Sentinel 1 and 2 for biomass estimation in a tropical forest of India
- (2021) Ramandeep Kaur M. Malhi et al. ADVANCES IN SPACE RESEARCH
- Do People Understand and Observe the Effects of Climate Crisis on Forests? The Case Study of Cyprus
- (2021) Milto Miltiadou et al. Forests
- Identification of Significative LiDAR Metrics and Comparison of Machine Learning Approaches for Estimating Stand and Diversity Variables in Heterogeneous Brazilian Atlantic Forest
- (2021) Rorai Pereira Martins-Neto et al. Remote Sensing
- MODIS NDVI Multi-Temporal Analysis Confirms Farmer Perceptions on Seasonality Variations Affecting Apple Orchards in Kinnaur, Himachal Pradesh
- (2021) Himangana Gupta et al. Agriculture-Basel
- Multi-year monitoring land surface phenology in relation to climatic variables using MODIS-NDVI time-series in Mediterranean forest, Northeast Tunisia
- (2021) Issam Touhami et al. ACTA OECOLOGICA-INTERNATIONAL JOURNAL OF ECOLOGY
- CoSec-RPL: detection of copycat attacks in RPL based 6LoWPANs using outlier analysis
- (2020) Abhishek Verma et al. TELECOMMUNICATION SYSTEMS
- Could Vegetation Index be Derive from Synthetic Aperture Radar? – The Linear Relationship between Interferometric Coherence and NDVI
- (2020) Zechao Bai et al. Scientific Reports
- Assessing Forest/Non-Forest Separability Using Sentinel-1 C-Band Synthetic Aperture Radar
- (2020) Johannes N. Hansen et al. Remote Sensing
- Could land surface phenology be used to discriminate Mediterranean pine species?
- (2019) David Aragones et al. International Journal of Applied Earth Observation and Geoinformation
- Impacts of warming on phytoplankton abundance and phenology in a typical tropical marine ecosystem
- (2018) John A. Gittings et al. Scientific Reports
- Potential of Sentinel-1 Data for Monitoring Temperate Mixed Forest Phenology
- (2018) Pierre-Louis Frison et al. Remote Sensing
- Flowering phenology shifts in response to biodiversity loss
- (2017) Amelia A. Wolf et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Spring warming increases the abundance of an invasive specialist insect: links to phenology and life history
- (2017) Rui-Ting Ju et al. Scientific Reports
- Climate change impacts and adaptation in forest management: a review
- (2015) Rodney J. Keenan ANNALS OF FOREST SCIENCE
- Forest Biomass Estimation Using Texture Measurements of High-Resolution Dual-Polarization C-Band SAR Data
- (2012) Md. Latifur Rahman Sarker et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Warming experiments underpredict plant phenological responses to climate change
- (2012) E. M. Wolkovich et al. NATURE
- Emerging Diseases in European Forest Ecosystems and Responses in Society
- (2011) Jan Stenlid et al. Forests
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started