Leaderboard

eCognition is for OBIA only, and very expensive. You'll need Erdas/ ENVI or other software which can do basic operations. eCognition can handle multiple image for single instance, so no worries. eCongition Developer can even do batch and distributed processing. I used OBIA for vegetation mapping and baseline assessment but haven't tried monitoring. If you can come up with a 'rule-set' for each observation, monitoring should get easy. Before that you'll need the imageries processed and ready. If you have experts who knows python and C++, I would suggest to spend this money on cloud services (ie AWS or similar). Now-a-days there is no point spending money for expensive software and PC, cloud is offering unlimited storage and processing power. Consider this app, Matt Hansen is using App Engine to classify forest loss of the whole world using Landsat image .

Hi all, I'd like to share a tool I created to automate the calculation of spectral indices for remotely sensed imagery. Currently, 22 spectral indices and the following sensors are supported: Landsat 1-5 MSS Landsat 4-5 TM Landsat 7 ETM+ Landsat 8 OLI Worldview-02 MODIS Terra and Aqua Just run the Python script (arcpy or GDAL) and use the GUI interface to select your sensor, indices to calculate, stacked image, and output directory. I haven't shared the tool yet and thus it has not been extensively tested. My personal tests have worked fine, but be sure to validate your outputs just in case! Please let me know if you run into any issues or bugs. I'm happy to address any questions. More detailed information and download here: Remote Sensing Indices Derivation Tool Happy remote sensing folks, Ryan