bobilong

Pinned Repositories

birdsAIV
Language:R10
FCN_train
The code includes all the file that you need in the training stage for FCN
Language:Python00
google_earth_engine_python_examples
Various examples for Google Earth Engine in Python using Jupyter Notebook
Language:Jupyter Notebook1 0 00
grassland-diversity
Language:R00
HLJ_soybean_map
A 30-m dataset that mapped the areas of soybean planting in Heilongjiang Province was produced, for the period of 1984~2020, based on Landsat-5/7/8 images and the Google Earth Engine (GEE) platform. Maps were made with a random forest classifier and phenological features extracted by a double-logistic model and a linear harmonic model. Here share our codes about how to use GEE platform to generate soybean maps and to verify accuracy of the map.
Language:MATLAB00
phenor
A phenology modelling framework in R
Language:R10
tensorflow-tutorial
Example TensorFlow codes and Caicloud TensorFlow as a Service dev environment.
Language:Jupyter Notebook00
WAE_bird
The code for the manuscript of Incorporating Waterbird Species Richness Distribution and Residency Time to Improve Avian Influenza Virus Exposure Risk Assessment Framework.
00
elapid
Species distribution modeling tools, including a python implementation of Maxent
Language:Python49 6 366

bobilong's Repositories

bobilong/birdsAIV
Language:R10
bobilong/google_earth_engine_python_examples
Various examples for Google Earth Engine in Python using Jupyter Notebook
Language:Jupyter Notebook1 0 00
bobilong/phenor
A phenology modelling framework in R
Language:R10
bobilong/FCN_train
The code includes all the file that you need in the training stage for FCN
Language:Python00
bobilong/grassland-diversity
Language:R00
bobilong/HLJ_soybean_map
A 30-m dataset that mapped the areas of soybean planting in Heilongjiang Province was produced, for the period of 1984~2020, based on Landsat-5/7/8 images and the Google Earth Engine (GEE) platform. Maps were made with a random forest classifier and phenological features extracted by a double-logistic model and a linear harmonic model. Here share our codes about how to use GEE platform to generate soybean maps and to verify accuracy of the map.
Language:MATLAB00
bobilong/tensorflow-tutorial
Example TensorFlow codes and Caicloud TensorFlow as a Service dev environment.
Language:Jupyter Notebook00
bobilong/WAE_bird
The code for the manuscript of Incorporating Waterbird Species Richness Distribution and Residency Time to Improve Avian Influenza Virus Exposure Risk Assessment Framework.
00