Remote Sensing of Forest Cover

Forests are one of the largest terrestrial ecosystems on Earth. The trees within them play an important role in the function of the forest ecosystem and protect the biodiversity that lives there. At the same time, the trees absorb atmospheric CO2 through photosynthesis, this is important because it removes a significant amount of carbon every year, which is very critical for the global carbon cycle and suggests that forests could play an important part in the solution to climate change.

This Research Topic focuses on new theories and methods of remote sensing applications for forest surveillance, forestry monitoring, biodiversity monitoring, forest ecosystem evaluation, and other applications. We encourage research that uses different technologies for monitoring carbon sinks and related research in forest ecosystems. Potential topics of interest include but are not limited to:

1. Theories, methods, and algorithms of quantitative remote sensing of forest cover;
2. Applications of artificial intelligence and big data technology in forestry remote sensing;
3. Carbon cycle modeling of the forest ecosystem and its impacts of climate change on forests;
4. Evaluation of the function, and biodiversity of the forest ecosystem and related research;
5. Validation of the production of remote sensing for forest study;
6. New remote sensing platform or sensors of forest cover research.

Keywords: Forest, Quantitative remote sensing, Forest resource inventory, Carbon cycle, Climate change, Inversion algorithm

Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.