Predictions of Tropical Forest Biomass and Biomass Growth Based on Stand Height or Canopy Area Are Improved by Landsat-Scale Phenology across Puerto Rico and the U.S. Virgin Islands

Using Landsat Time-Series and LiDAR to Inform Aboveground Forest Biomass Baselines in Northern Minnesota, USA

(2016) Ram K. Deo et al.   CANADIAN JOURNAL OF REMOTE SENSING

A Simple Method for Detecting Phenological Change From Time Series of Vegetation Index

(2016) Jin Chen et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Rapid Assessments of Amazon Forest Structure and Biomass Using Small Unmanned Aerial Systems

(2016) Max Messinger et al.   Remote Sensing

Using Landsat Time-Series and LiDAR to Inform Aboveground Forest Biomass Baselines in Northern Minnesota, USA

(2016) Ram K. Deo et al.   CANADIAN JOURNAL OF REMOTE SENSING

Solar-induced chlorophyll fluorescence that correlates with canopy photosynthesis on diurnal and seasonal scales in a temperate deciduous forest

(2015) Xi Yang et al.   GEOPHYSICAL RESEARCH LETTERS

Estimating aboveground carbon using airborne LiDAR in Cambodian tropical seasonal forests for REDD+ implementation

(2015) Tetsuji Ota et al.   Journal of Forest Research

Improvement and expansion of the Fmask algorithm: cloud, cloud shadow, and snow detection for Landsats 4–7, 8, and Sentinel 2 images

(2015) Zhe Zhu et al.   REMOTE SENSING OF ENVIRONMENT

Estimating forest structure in a tropical forest using field measurements, a synthetic model and discrete return lidar data

(2015) Michael W. Palace et al.   REMOTE SENSING OF ENVIRONMENT

Phenology-Based Vegetation Index Differencing for Mapping of Rubber Plantations Using Landsat OLI Data

(2015) Hui Fan et al.   Remote Sensing

Global and time-resolved monitoring of crop photosynthesis with chlorophyll fluorescence

(2014) L. Guanter et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

The seasonal cycle of satellite chlorophyll fluorescence observations and its relationship to vegetation phenology and ecosystem atmosphere carbon exchange

(2014) J. Joiner et al.   REMOTE SENSING OF ENVIRONMENT

Phenology of tropical understory trees: patterns and correlates

(2014) W. Alice Boyle et al.   REVISTA DE BIOLOGIA TROPICAL

Detailed maps of tropical forest types are within reach: Forest tree communities for Trinidad and Tobago mapped with multiseason Landsat and multiseason fine-resolution imagery

(2012) E.H. Helmer et al.   FOREST ECOLOGY AND MANAGEMENT

Key canopy traits drive forest productivity

(2012) P. B. Reich   PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES

A Modified Neighborhood Similar Pixel Interpolator Approach for Removing Thick Clouds in Landsat Images

(2011) Xiaolin Zhu et al.   IEEE Geoscience and Remote Sensing Letters

A simple and effective method for filling gaps in Landsat ETM+ SLC-off images

(2011) Jin Chen et al.   REMOTE SENSING OF ENVIRONMENT

Object-based cloud and cloud shadow detection in Landsat imagery

(2011) Zhe Zhu et al.   REMOTE SENSING OF ENVIRONMENT

Flooding and profuse flowering result in high litterfall in novelSpathodea campanulataforests in northern Puerto Rico

(2011) Oscar J. Abelleira Martínez   Ecosphere

Automated masking of cloud and cloud shadow for forest change analysis using Landsat images

(2010) Chengquan Huang et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Remote sensing detection of droughts in Amazonian forest canopies

(2010) Liana O. Anderson et al.   NEW PHYTOLOGIST

Near-surface remote sensing of spatial and temporal variation in canopy phenology

(2009) Andrew D. Richardson et al.   ECOLOGICAL APPLICATIONS

Climate shapes the novel plant communities that form after deforestation in Puerto Rico and the U.S. Virgin Islands

(2009) Thomas J. Brandeis et al.   FOREST ECOLOGY AND MANAGEMENT

Sensitivity of vegetation phenology detection to the temporal resolution of satellite data

(2009) Xiaoyang Zhang et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Web-enabled Landsat Data (WELD): Landsat ETM+ composited mosaics of the conterminous United States

(2009) David P. Roy et al.   REMOTE SENSING OF ENVIRONMENT

Leaffall Phenology in a Subtropical Wet Forest in Puerto Rico: From Species to Community Patterns

(2008) Marcela Zalamea et al.   BIOTROPICA

The availability of cloud-free Landsat ETM+ data over the conterminous United States and globally

(2007) Junchang Ju et al.   REMOTE SENSING OF ENVIRONMENT