ERGINCAGATAYCANKAYA

CAST

Developer Version of the R package CAST: Caret Applications for Spatio-Temporal models

DroneLidarCode

Code (mostly R) to work with drone lidar data for forestry applications

FORTLS

Automatic Processing of TLS Point Cloud Data for Forestry Purposes

geocompr

Open source book: Geocomputation with R

MAMIF

Modeling animal movement in forest

ogh_summer_school_2020

Material for the session "Introduction to Deep Learning in R for the analysis of UAV-based remote sensing data"

OGM

ORMAN GENEL MUDURLUGU

ProfoundData

Checking and benchmarking of dynamic vegetation models

python_for_image_processing_APEER

https://www.youtube.com/playlist?list=PLHae9ggVvqPgyRQQOtENr6hK0m1UquGaG

python_for_microscopists

https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1

ERGINCAGATAYCANKAYA/CAST

Developer Version of the R package CAST: Caret Applications for Spatio-Temporal models

ERGINCAGATAYCANKAYA/DroneLidarCode

Code (mostly R) to work with drone lidar data for forestry applications

ERGINCAGATAYCANKAYA/FORTLS

Automatic Processing of TLS Point Cloud Data for Forestry Purposes

ERGINCAGATAYCANKAYA/geocompr

Open source book: Geocomputation with R

ERGINCAGATAYCANKAYA/ogh_summer_school_2020

Material for the session "Introduction to Deep Learning in R for the analysis of UAV-based remote sensing data"

ERGINCAGATAYCANKAYA/python_for_microscopists

https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1

ERGINCAGATAYCANKAYA/pytreedb

Python package providing a file and object-based database to store tree objects.

ERGINCAGATAYCANKAYA/segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

ERGINCAGATAYCANKAYA/spanner

Utilities to support landscape-, forest-, and tree-related data collection, manipulation, analysis, modelling, and visualization.

ERGINCAGATAYCANKAYA/trexr

Tree Explorer in R - Lidar

ERGINCAGATAYCANKAYA/uavRst

UAV related Remote Sensing Toolbox

ERGINCAGATAYCANKAYA/docs

ERGINCAGATAYCANKAYA/fastai

R interface to fast.ai

ERGINCAGATAYCANKAYA/ForAINet

official source code for paper entitled "Automated forest inventory: analysis of high-density airborne LiDAR point clouds with 3D deep learning"

ERGINCAGATAYCANKAYA/FSCT

ERGINCAGATAYCANKAYA/GEDI-BDL

This repository provides the code used to create the results presented in "Global canopy height regression and uncertainty estimation from GEDI LIDAR waveforms with deep ensembles".

ERGINCAGATAYCANKAYA/GEDI4R

An R package for NASA’s GEDI Level 4A data download, processing and visualization.

ERGINCAGATAYCANKAYA/ITSMe

ERGINCAGATAYCANKAYA/lidar_shiny

Mapping LiDAR Data Collection Across Alberta

ERGINCAGATAYCANKAYA/lidRbook

The lidR package tutorials book :book:

ERGINCAGATAYCANKAYA/NYCtrees

Here we produced an individual tree dataset including tree locations, height, crown area, crown volume, and biomass over the entire New York City, USA for 6,005,690 trees. Individual trees were detected and mapped from remotely sensed datasets along with their height and crown size information.

ERGINCAGATAYCANKAYA/segment-anything-eo

Earth observation tools for Meta AI Segment Anything

ERGINCAGATAYCANKAYA/segment-lidar

Python package for segmenting LiDAR data using Segment-Anything Model (SAM) from Meta AI.

ERGINCAGATAYCANKAYA/segmenteverygrain

A SAM-based model for instance segmentation of images of grains

ERGINCAGATAYCANKAYA/slidaRtools

Tools for lidar simulation and lidar processing

ERGINCAGATAYCANKAYA/starter-hugo-academic

ERGINCAGATAYCANKAYA/syssifoss

ERGINCAGATAYCANKAYA/TreeCountSegHeight

Code for paper

ERGINCAGATAYCANKAYA/TreeQSM

Quantitative Structure Models of Single Trees from Laser Scanner Data

ERGINCAGATAYCANKAYA/urban-tree-detection