Special Issue "Novel Approaches in Tropical Forests Mapping and Monitoring – Time for Operationalization"
Deadline for manuscript submissions: closed (1 June 2022) | Viewed by 9071
Interests: tropical forest ecology and conservation; remote sensing; ecosystem monitoring
Special Issues, Collections and Topics in MDPI journals
Interests: tropical forest ecology; landscape ecology; remote sensing; spatial analysis
Interests: remote sensing; ecological data analysis
Tropical forests are the most complex ecological systems on Earth. From early successional communities to old growth stands, tropical forests are characterized by vegetation communities with high species richness, high structural and functional diversity, and a myriad of ecological interactions occurring across taxonomic and functional groups. They are also highly heterogeneous across its range with latitudinal, altitudinal, soil, and climatic gradients determining diverse plant and animal community level adaptations. One of the most significant attributes is their capacity to act as a major reservoir of carbon within terrestrial ecosystems, helping to mitigate climate change and additionally providing numerous valuable ecosystem services.
Human–tropical forest interactions have existed since the origin of our species. This relation, however, has only recently climbed to a global scale of forest exploitation that is jeopardizing the mere existence of the ecosystem as we know it. With tropical forests reduced to scattered fragments across its range under threat of ecological collapse due to climate change, there is an urgent need to monitor and preserve these last patches.
Remote sensing can offer tools and techniques to help to characterize their complexity and monitor its patch-level and landscape-level attributes through time. The remote sensing scientific community has come a long way in recent decades by developing ways to link spectral values to tropical forest attributes and generate predictive models of interest in the fields of botany, zoology, forest management, and conservation biology. With the increasing availability of dense time series of optical, radar, and lidar in proximal, airborne, and space-borne sensing systems, novel ways are being developed to integrate field ground truth data to remotely sensed data and to accurately detect changes in tropical forest attributes (e.g., leaf area index, phenology, biomass, canopy gap fraction, taxonomic diversity, biochemical diversity) at multiple geographic and temporal scales. These methods include complex data acquisition and ingestion frameworks, image transformations, data fusion, analysis, and product sharing strategies that currently often rely on cloud-based services.
Efforts to provide ways to operationalize the use of these tools and techniques in landscape-scale observation systems need to be promoted in order to aid tropical forest ecology and conservation action on the ground. This Special Issue will focus on state-of-the-art research that addresses the challenges of upscaling biological, biophysical, and biochemical attributes of tropical forests in complex landscapes and understanding their dynamics at multiple spatial and temporal scales.
We are inviting papers including but not limited to the following research topics:
- Methods for predicting forest biophysical and biochemical parameters at multiple geographic and temporal scales;
- Novel data ingestion, optimization, and management techniques for tropical forest monitoring;
- Integration of field data, ground sensor networks, and remote sensing datasets in near real-time for tropical forest monitoring.
Dr. Carlos Portillo-Quintero
Dr. José Luis Hernández-Stefanoni
MSc. Gabriela Reyes-Palomeque
MSc. Mukti Subedi
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2500 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- Tropical forests
- Functional diversity
- Structural diversity
- Vegetation structure and biomass
- Data fusion