A Web-Based Learning Environment of Remote Sensing Experimental Class With Python

Abstract

Abstract. Remote sensing course is a general disciplinary required course of human geography and urban-rural planning major. Its class hour is 48, including theoretical classes and experimental classes. Rapid technological developments is remote sensing area demand quick and steady changes in the education programme and its realization, especially in experimental classes. Experimental classes include: introduction to remote sensing software and basic operations, remote sensing data pre-processing (input, output, 2D and 3D terrain display, image cut, image mosaic, and projection transformation), remote sensing image enhancement, remote sensing image transformation, computer aided classification, image interpretation, and remote sensing image terrain analysis. There are two difficulties in the remote sensing experimental classes. First, it cost a lot of time to prepare the remote sensing software and the remote sensing images. Second, some students just want to use the remote sensing as a tool to investigate environment changing, some other students may want to study more remote sensing image processing technologies. A web-based learning environment of remote sensing is developed to facilitate the application of remote sensing experimental teaching. To make the learning more effective, there are eight modules including four optional modules. The Python programming language is chosen to implement the web-based remote sensing learning environment. The web-based learning environment is implemented in a local network server, including the remote sensing data processing algorithms and many satellite image data. Students can easily exercise the remote sensing experimental courses by connecting to the local network server. It is developed mainly for remote sensing experimental course, and also can be adopted by digital image processing or other courses. The feature of web-based learning may be very useful as the online education adopted because of Corona Virus Disease 2019. The results are encouraging and some recommendations will be extracted for the future.

Meningkatkan hasil belajar peserta didik dengan menggunakan Mobile Learning berbasis Flip Pdf Pro Maker (myflip) (A useful mobile base learning media in the Covid-19 era)

“…Secara tidak langsung Siswa tetap melakukan kegiatan pembelajaran secara daring (online) dengan bantuan media pembelajaran yang telah disiapkan oleh guru yang diharapkan kebijakan ini dapat mengurangi penyebaran Covid-19 (Mishra et al, 2020;Ratten and Jones, 2020). Pembelajaran jarak jauh diperlukan media pembelajaran yang tepat dengan memanfaatkan kemajuan dari teknologi agar tujuan pendidikan dapat tercapai (Li et al, 2020;Muhson, 2010). Media pembelajaran sendiri memegang peran penting dalam inovasi proses pembelajaran dimana media pembelajaran mampu membantu guru dalam menyampaikan materi yang diajarkan (Kramer et al, 2020), (Sholihin et al, 2020), (Setyadi & Qohar, 2017), (Crisp, 2015).…”