Inclusion of habitat availability in species distribution models through multi-temporal remote-sensing data?

Remote Sensing Data ◽

Habitat Availability ◽

Distribution Models ◽

Sensing Data ◽

Predictive mapping of bryophyte richness patterns in boreal forests using species distribution models and remote sensing data

Ecological Indicators ◽

10.1016/j.ecolind.2020.106826 ◽

2020 ◽

Vol 119 ◽

pp. 106826 ◽

Cited By ~ 1

Author(s):

Carlos Cerrejón ◽

Osvaldo Valeria ◽

Nicolas Mansuy ◽

Marion Barbé ◽

Nicole J. Fenton

Keyword(s):

Remote Sensing ◽

Species Distribution ◽

Boreal Forests ◽

Remote Sensing Data ◽

Distribution Models ◽

Predictive Mapping ◽

Sensing Data ◽

Richness Patterns

Remote sensing data can improve predictions of species richness by stacked species distribution models: a case study for Mexican pines

Journal of Biogeography ◽

10.1111/jbi.12225 ◽

2013 ◽

Vol 41 (4) ◽

pp. 736-748 ◽

Cited By ~ 27

Author(s):

Anna F. Cord ◽

Doris Klein ◽

David S. Gernandt ◽

Jorge A. Pérez de la Rosa ◽

Stefan Dech

Keyword(s):

Remote Sensing ◽

Species Richness ◽

Species Distribution ◽

Remote Sensing Data ◽

Distribution Models ◽

Sensing Data

Modeling Spatio-temporal Drought Events Based on Multi-temporal, Multi-source Remote Sensing Data Calibrated by Soil Humidity

Chinese Geographical Science ◽

10.1007/s11769-021-1250-4 ◽

2021 ◽

Author(s):

Hanyu Li ◽

Hermann Kaufmann ◽

Guochang Xu

Keyword(s):

Remote Sensing ◽

Remote Sensing Data ◽

Soil Humidity ◽

Sensing Data ◽

Multi Temporal ◽

Spatio Temporal

Computer and Computing Technologies in Agriculture V - IFIP Advances in Information and Communication Technology ◽

Wheat Grain Protein Content Estimation Based on Multi-temporal Remote Sensing Data and Generalized Regression Neural Network

10.1007/978-3-642-27278-3_41 ◽

2012 ◽

pp. 381-389

Author(s):

Cunjun Li ◽

Qian Wang ◽

Jihua Wang ◽

Yan Wang ◽

Xiaodong Yang ◽

...

Keyword(s):

Neural Network ◽

Remote Sensing ◽

Protein Content ◽

Remote Sensing Data ◽

Grain Protein Content ◽

Generalized Regression Neural Network ◽

Grain Protein ◽

Wheat Grain ◽

Sensing Data ◽

A novel method combining species distribution models, remote sensing, and field surveys for detecting and mapping subtidal seagrass meadows

Aquatic Conservation Marine and Freshwater Ecosystems ◽

10.1002/aqc.3312 ◽

2020 ◽

Vol 30 (6) ◽

pp. 1098-1110 ◽

Cited By ~ 2

Author(s):

Pedro Beca‐Carretero ◽

Sara Varela ◽

Dagmar B. Stengel

Keyword(s):

Remote Sensing ◽

Species Distribution ◽

Distribution Models ◽

Field Surveys ◽

Seagrass Meadows ◽

Novel Method

A parametric model for classifying land cover and evaluating training data based on multi-temporal remote sensing data

ISPRS Journal of Photogrammetry and Remote Sensing ◽

10.1016/j.isprsjprs.2014.09.004 ◽

2014 ◽

Vol 97 ◽

pp. 219-228 ◽

Cited By ~ 11

Author(s):

Hunter Glanz ◽

Luis Carvalho ◽

Damien Sulla-Menashe ◽

Mark A. Friedl

Keyword(s):

Remote Sensing ◽

Land Cover ◽

Remote Sensing Data ◽

Parametric Model ◽

Training Data ◽

Sensing Data ◽

Quantitative analysis of land use and land cover changes from the multi-temporal remote sensing data in the Bosten Lake Basin, Chinese Tian Shan

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/74/1/012011 ◽

2017 ◽

Vol 74 ◽

pp. 012011

Author(s):

A Maimaiti ◽

L M Wang ◽

F Yan ◽

J Zhang ◽

Y X Ma

Keyword(s):

Remote Sensing ◽

Land Use ◽

Quantitative Analysis ◽

Land Cover ◽

Remote Sensing Data ◽

Land Cover Changes ◽

Lake Basin ◽

Bosten Lake ◽

Sensing Data ◽

Discharge estimation for medium-sized river using multi-temporal remote sensing data: a case study in Brazil

Hydrological Sciences Journal ◽

10.1080/02626667.2020.1808220 ◽

2020 ◽

Vol 65 (14) ◽

pp. 2402-2418

Author(s):

Évelyn Márcia Pôssa ◽

Philippe Maillard ◽

Lília Maria de Oliveira

Keyword(s):

Remote Sensing ◽

Remote Sensing Data ◽

Sensing Data ◽

Multi Temporal ◽

Discharge Estimation

Multi-temporal remote sensing data to monitor terrestrial ecosystem responses to climate variations in Ghana

Geocarto International ◽

10.1080/10106049.2020.1723716 ◽

2020 ◽

pp. 1-17 ◽

Cited By ~ 1

Author(s):

Ram Avtar ◽

Ali P. Yunus ◽

Osamu Saito ◽

Ali Kharrazi ◽

Pankaj Kumar ◽

...

Keyword(s):

Remote Sensing ◽

Terrestrial Ecosystem ◽

Remote Sensing Data ◽

Climate Variations ◽

Ecosystem Responses ◽

Sensing Data ◽

2009 International Conference on Environmental Science and Information Application Technology ◽

An Object-Based Approach for Forest-Cover Change Detection using Multi-Temporal High-Resolution Remote Sensing Data

10.1109/esiat.2009.163 ◽

2009 ◽

Cited By ~ 6

Author(s):

Jun Huang ◽

Youchuan Wan ◽

Shaohong Shen

Keyword(s):

Remote Sensing ◽

High Resolution ◽

Change Detection ◽

Forest Cover ◽

Remote Sensing Data ◽

Forest Cover Change ◽

Sensing Data ◽

Object Based ◽