Change detection from remotely sensed images: From pixel-based to object-based approaches

M Hussain, D Chen, A Cheng, H Wei… - ISPRS Journal of …, 2013 - Elsevier
The appetite for up-to-date information about earth's surface is ever increasing, as such
information provides a base for a large number of applications, including local, regional and …

[HTML][HTML] Object based image analysis for remote sensing

T Blaschke - ISPRS journal of photogrammetry and remote sensing, 2010 - Elsevier
Remote sensing imagery needs to be converted into tangible information which can be
utilised in conjunction with other data sets, often within widely used Geographic Information …

Quantifying renewable groundwater stress with GRACE

AS Richey, BF Thomas, MH Lo… - Water resources …, 2015 - Wiley Online Library
Groundwater is an increasingly important water supply source globally. Understanding the
amount of groundwater used versus the volume available is crucial to evaluate future water …

Mapping agricultural land abandonment from spatial and temporal segmentation of Landsat time series

H Yin, AV Prishchepov, T Kuemmerle, B Bleyhl… - Remote sensing of …, 2018 - Elsevier
Agricultural land abandonment is a common land-use change, making the accurate
mapping of both location and timing when agricultural land abandonment occurred …

Object-based change detection

G Chen, GJ Hay, LMT Carvalho… - International Journal of …, 2012 - Taylor & Francis
Characterizations of land-cover dynamics are among the most important applications of
Earth observation data, providing insights into management, policy and science. Recent …

Quantification of global gross forest cover loss

MC Hansen, SV Stehman… - Proceedings of the …, 2010 - National Acad Sciences
A globally consistent methodology using satellite imagery was implemented to quantify
gross forest cover loss (GFCL) from 2000 to 2005 and to compare GFCL among biomes …

Robust monitoring of small-scale forest disturbances in a tropical montane forest using Landsat time series

B DeVries, J Verbesselt, L Kooistra, M Herold - Remote Sensing of …, 2015 - Elsevier
Remote sensing data play an important role in the monitoring of forest changes. Methods
are needed to provide objective estimates of forest loss to support monitoring efforts at …

Forest transitions, trade, and the global displacement of land use

P Meyfroidt, TK Rudel… - Proceedings of the …, 2010 - National Acad Sciences
Reducing tropical deforestation is an international priority, given its impacts on carbon
emissions and biodiversity. We examined whether recent forest transitions—a shift from net …

Quantifying forest cover loss in Democratic Republic of the Congo, 2000–2010, with Landsat ETM+ data

PV Potapov, SA Turubanova, MC Hansen… - Remote Sensing of …, 2012 - Elsevier
Forest cover and forest cover loss for the last decade, 2000–2010, have been quantified for
the Democratic Republic of the Congo (DRC) using Landsat time-series data set. This was …

Object-based convolutional neural network for high-resolution imagery classification

W Zhao, S Du, WJ Emery - IEEE Journal of Selected Topics in …, 2017 - ieeexplore.ieee.org
Timely and accurate classification and interpretation of high-resolution images are very
important for urban planning and disaster rescue. However, as spatial resolution gets finer, it …