The use of remote sensing and GIS techniques for afforestation planning and sustainable forest management in mountainous regions
Research gap analysis derived from 3 earth_science papers in our local library.
The gap
The study identifies a gap in the use of remote sensing and GIS techniques for afforestation planning and sustainable forest management in mountainous regions. The study highlights the need for a novel approach to identifying suitable areas for afforestation and reforestation.
Evidence profile
Sourced from the stated research gap and future-work section of the source papers, classified as general, spanning 3 journals. Those papers have been cited 2 times in total.
Research trend
Established — well-defined area with open sub-problems.
Supporting evidence — 4 representative gaps
- Forest Canopy Height Mapping in Tanzanian Tropical Rainforests Using Multimodal Remote Sensing Data and Machine Learning (2026) · ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences · cited 1× · doi
The lack of spatial continuity in GEDI Level 2A product is a significant limitation for continuous canopy height mapping. The need for reliable methods to extrapolate canopy height into continuous surfaces is a research gap. The potential of multimodal remote sensing datasets for continuous canopy height mapping is an area of ongoing research.
generalstated research gapevidence 5/5Keywords: lack spatial continuity gedi level product significant limitation - Forest Canopy Height Mapping in Tanzanian Tropical Rainforests Using Multimodal Remote Sensing Data and Machine Learning (2026) · ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences · cited 1× · doi
Future studies can explore the use of other remote sensing datasets and machine learning algorithms for continuous canopy height mapping. Future research can investigate the application of this study's findings to other regions and forest types. Future studies can evaluate the effectiveness of this study's approach for other environmental monitoring applications.
generalfuture-work sectionevidence 5/5Keywords: future studies explore use other remote sensing datasets - Assessment of Afforestation and Reforestation Suitability Using Remote Sensing and GIS: A Case Study of the Sisian Forestry Unit, Syunik Province, Armenia (2026) · Anuário do Instituto de Geociências · doi
The study identifies a gap in the use of remote sensing and GIS techniques for afforestation planning and sustainable forest management in mountainous regions. The study highlights the need for a novel approach to identifying suitable areas for afforestation and reforestation.
generalstated research gapevidence 5/5Keywords: study identifies gap use remote sensing gis techniques - Estimación de la edad de los bosques de la península Ibérica a partir de datos de Inventario Forestal Nacional y de teledetección (2026) · Congresos UEx, actas de Congresos · doi
Future studies can apply the method to other regions and countries to produce high-resolution forest age maps. Future research can also focus on improving the accuracy and spatial resolution of the method. The study highlights the need for further research on the application of remote sensing data for forest age estimation.
generalfuture-work sectionevidence 5/5Keywords: future studies apply method other regions countries produce
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