| Using MaxEnt modeling to predict the potential distribution of the endemic plant Rosa arabica Crep. in Egypt |
25 |
| Wildfire spatial pattern analysis in the Zagros Mountains, Iran: A comparative study of decision tree based classifiers |
21 |
| Deep convolution neural network for image recognition |
20 |
| Modelling current and future potential distributions of two desert jerboas under climate change in Iran |
19 |
| A Deep learning method for accurate and fast identification of coral reef fishes in underwater images |
17 |
| MaxEnt modeling for predicting suitable habitats and identifying the effects of climate change on a threatened species, Daphne mucronata, in central Iran |
17 |
| A new fuzzy time series model based on robust clustering for forecasting of air pollution |
16 |
| Deep learning and transfer learning features for plankton classification |
14 |
| An exhaustive analysis of heuristic methods for variable selection in ecological niche modeling and species distribution modeling |
11 |
| Machine learning for inferring animal behavior from location and movement data |
11 |
| UAVs in pursuit of plant conservation - Real world experiences |
10 |
| Akaike information criterion should not be a test of geographical prediction accuracy in ecological niche modelling |
10 |
| GIS-based spatial prediction of tropical forest fire danger using a new hybrid machine learning method |
9 |
| Estimating leaf area index and light extinction coefficient using Random Forest regression algorithm in a tropical moist deciduous forest, India |
8 |
| A SIFT-based software system for the photo-identification of the Risso's dolphin |
7 |
| Forest aboveground biomass estimation using machine learning regression algorithm in Yok Don National Park, Vietnam |
7 |
| Modelling potential wildlife-vehicle collisions (WVC) locations using environmental factors and human population density: A case-study from 3 state highways in Central California |
7 |
| Real-time fish detection in complex backgrounds using probabilistic background modelling |
7 |
| Remote sensing of water quality based on HJ-1A HSI imagery with modified discrete binary particle swarm optimization-partial least squares (MDBPSO-PLS) in inland waters: A case in Weishan Lake |
7 |
| CropPhenology: An R package for extracting crop phenology from time series remotely sensed vegetation index imagery |
7 |
| Optimizing community trees using the open tree of life increases the reliability of phylogenetic diversity and dispersion indices |
6 |
| Object-oriented satellite image time series analysis using a graph-based representation |
6 |
| Extending geographically and temporally weighted regression to account for both spatiotemporal heterogeneity and seasonal variations in coastal seas |
6 |
| Spatial pattern assessment of tropical forest fire danger at Thuan Chau area (Vietnam) using GIS-based advanced machine learning algorithms: A comparative study |
6 |
| DEIMS-SDR - A web portal to document research sites and their associated data |
6 |
| Landscape ecology development supported by geospatial technologies: A review |
6 |
| An accurate ecological footprint analysis and prediction for Beijing based on SVM model |
6 |
| Impact of climate factors on future distributions of Paeonia ostii across China estimated by MaxEnt |
6 |
| Use of ROOT to build a software optimized for parameter estimation and simulations with Distributed Delay Model |
6 |
| Improving Pantanal fish species recognition through taxonomic ranks in convolutional neural networks |
5 |
| Mapping ecological indicators of human impact with statistical and machine learning methods: Tests on the California coast |
5 |
| How much should one sample to accurately predict the distribution of species assemblages? A virtual community approach |
5 |
| Predicting impacts of climate variability on habitats of Hippophae salicifolia (D. Don) (Seabuckthorn) in Central Himalayas: Future challenges |
5 |
| Identifying disturbed habitats: A new method from acoustic indices |
5 |
| The Bari Manifesto: An interoperability framework for essential biodiversity variables |
5 |
| Bark and leaf fusion systems to improve automatic tree species recognition |
5 |
| Spatial-temporal distribution of rainfall erosivity, erosivity density and correlation with El Nino-Southern Oscillation in the Huaihe River Basin, China |
5 |
| Determining quality of water in reservoir using machine learning |
5 |
| Cascaded deep network systems with linked ensemble components for underwater fish detection in the wild |
5 |
| Spatial pattern of GPP variations in terrestrial ecosystems and its drivers: Climatic factors, CO2 concentration and land-cover change, 1982-2015 |
4 |
| Impacts of hydropeaking and thermopeaking on the downstream habitat in the Dal River, Korea |
4 |
| Regional patterns of ecosystem functional diversity in the Argentina Pampas using MODIS time-series |
4 |
| Automatic detection of woody vegetation in repeat landscape photographs using a convolutional neural network |
4 |
| Impact assessment of local land use on ecological water quality of the Guayas river basin (Ecuador) |
4 |
| Food web structure and ecosystem properties of the largest impounded lake along the eastern route of China's South-to-North Water Diversion Project |
4 |
| Castles built on sand or predictive limnology in action? Part A: Evaluation of an integrated modelling framework to guide adaptive management implementation in Lake Erie |
4 |
| Stronger together: Combining automated classifiers with manual post-validation optimizes the workload vs reliability trade-off of species identification in bat acoustic surveys |
4 |
| Estimating tree species diversity from space in an alpine conifer forest: The Rao's Q diversity index meets the spectral variation hypothesis |
4 |
| Handcrafted features and late fusion with deep learning for bird sound classification |
4 |
| BIM-oriented data mining for thermal performance of prefabricated buildings |
4 |
