Correlation between the dynamics and spatial configuration of the circumarctic latitudinal forest-tundra ecotone

Is subarctic forest advance able to keep pace with climate change?

(2020) W. Gareth Rees et al.   GLOBAL CHANGE BIOLOGY

Altitudinal forest-tundra ecotone categorization using texture-based classification

(2019) Wenkai Guo et al.   REMOTE SENSING OF ENVIRONMENT

A 30-m landsat-derived cropland extent product of Australia and China using random forest machine learning algorithm on Google Earth Engine cloud computing platform

(2018) Pardhasaradhi Teluguntla et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Global Estimation of Biophysical Variables from Google Earth Engine Platform

(2018) Manuel Campos-Taberner et al.   Remote Sensing

Automated cropland mapping of continental Africa using Google Earth Engine cloud computing

(2017) Jun Xiong et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Empirically Derived Sensitivity of Vegetation to Climate across Global Gradients of Temperature and Precipitation

(2017) Gregory R. Quetin et al.   JOURNAL OF CLIMATE

Google Earth Engine: Planetary-scale geospatial analysis for everyone

(2017) Noel Gorelick et al.   REMOTE SENSING OF ENVIRONMENT

Google Earth Engine, Open-Access Satellite Data, and Machine Learning in Support of Large-Area Probabilistic Wetland Mapping

(2017) Jennifer Hird et al.   Remote Sensing

Back to the Future: The Responses of Alpine Treelines to Climate Warming are Constrained by the Current Ecotone Structure

(2016) J. Julio Camarero et al.   ECOSYSTEMS

Sensitivity of global terrestrial ecosystems to climate variability

(2016) Alistair W. R. Seddon et al.   NATURE

Mapping paddy rice planting area in northeastern Asia with Landsat 8 images, phenology-based algorithm and Google Earth Engine

(2016) Jinwei Dong et al.   REMOTE SENSING OF ENVIRONMENT

Habitat fragmentation and its lasting impact on Earth's ecosystems

(2015) N. M. Haddad et al.   Science Advances

Recent dynamics of arctic and sub-arctic vegetation

(2013) Howard E Epstein et al.   Environmental Research Letters

Global, 30-m resolution continuous fields of tree cover: Landsat-based rescaling of MODIS vegetation continuous fields with lidar-based estimates of error

(2013) Joseph O. Sexton et al.   International Journal of Digital Earth

Shrub expansion at the forest–tundra ecotone: spatial heterogeneity linked to local topography

(2012) P Ropars et al.   Environmental Research Letters

SLIC Superpixels Compared to State-of-the-Art Superpixel Methods

(2012) R. Achanta et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Tree and Shrub Expansion Over the Past 34 Years at the Tree-Line Near Abisko, Sweden

(2011) Sara Rundqvist et al.   AMBIO

Treeline form - a potential key to understanding treeline dynamics

(2011) Melanie A. Harsch et al.   GLOBAL ECOLOGY AND BIOGEOGRAPHY

Object-based mapping of the circumpolar taiga–tundra ecotone with MODIS tree cover

(2011) K.J. Ranson et al.   REMOTE SENSING OF ENVIRONMENT

Are treelines advancing? A global meta-analysis of treeline response to climate warming

(2009) Melanie A. Harsch et al.   ECOLOGY LETTERS

The velocity of climate change

(2009) Scott R. Loarie et al.   NATURE

MODIS tree cover validation for the circumpolar taiga–tundra transition zone

(2009) P.M. Montesano et al.   REMOTE SENSING OF ENVIRONMENT

The greening and browning of Alaska based on 1982–2003 satellite data

(2008) David Verbyla   GLOBAL ECOLOGY AND BIOGEOGRAPHY

Assessment of multispectral, -temporal and -angular MODIS data for tree cover mapping in the tundra–taiga transition zone

(2008) Janne Heiskanen et al.   REMOTE SENSING OF ENVIRONMENT