Abstract Borneo has experienced heavy deforestation and forest degradation during the past two decades. In this study Moderate Resolution Imaging Spectroradiometer was used to monitor land cover change in between 2002 2005 order assess current extent of cover, rate role fire. Using Landsat ground observation for validation it possible discriminate 11 classes. 57% surface covered with which 74% dipterocarp more than 23% peat swamp forest. The average 1.7% yr − 1 . carbon‐rich ecosystem...

Abstract South‐east Asia's tropical rainforests are experiencing the highest rate of deforestation worldwide and fire is one most important drivers forest loss subsequent carbon dioxide emissions. In this study, we analyzed all events in Borneo recorded by satellites over a period 10 years. About 16.2 Mha, which corresponds to 21% land surface, have been affected at least once 6% more than time. During El Niño conditions, cause prolonged droughts region, fire‐affected area was on average...

Imagery from medium resolution satellites, such as Landsat, have long been used to map forest disturbances in the tropics. However, Landsat spatial (30 m) has often considered too coarse for reliably mapping small-scale selective logging. recently launched Sentinel-2 sensor, with a resampled 10 m resolution, may improve detection of disturbances. This study compared performance 8 and data logging an area located Brazilian Amazon. Logging impacts seven areas, which had governmental...

Sustainable forest management (SFM), which has been recently introduced to tropical natural production forests, is beneficial in maintaining timber resources, but information about the co-benefits for biodiversity conservation and carbon sequestration currently lacking.We estimated diversity of medium large-bodied forest-dwelling vertebrates using a heat-sensor camera trapping system amount above-ground, fine-roots, soil organic by combination ground surveys aerial-imagery interpretations....

Abstract. Large-scale fires occur frequently across Indonesia, particularly in the southern region of Kalimantan and eastern Sumatra. They have considerable impacts on carbon emissions, haze production, biodiversity, health, economic activities. In this study, we demonstrate that severe fire events Indonesia can generally be predicted months advance using predictions seasonal rainfall from ECMWF System 4 coupled ocean–atmosphere model. Based analyses long, up-to-date series observations...

This study presents an approach to forest canopy disturbance monitoring in evergreen forests continental Southeast Asia, based on temporal differences of a modified normalized burn ratio (NBR) vegetation index. We generate NBR values from each available Landsat 8 scene given period. A step ‘self-referencing’ normalizes the values, largely eliminating illumination/topography effects, thus maximizing inter-comparability. then create yearly composites these self-referenced (rNBR) selecting per...

Abstract Aim Financial incentives to manage forests sustainably, such as certification or carbon storage payments, are assumed have co‐benefits for biodiversity conservation. This claim remains little studied rain forest mammals, which particularly threatened, but challenging survey. Location Sabah, Malaysia, Borneo. Methods We used photographic data from three commercial reserves show how community occupancy modelling can be quantify mammalian diversity conservation of certification. These...

Forest change detection and monitoring is a key part of the Copernicus Land Monitoring Service (CLMS) (https://land.copernicus.eu/). Various methodologies already implement near real-time (NRT) forest in tropical regions (e.g. Reiche et al., 2021) with focus on timely deforestation activities. However, there not yet an operational pan-European product tracking dynamics at such temporal frequency, which has moreover capability to separate also subtle disturbances tree canopy from signal...

The IPCC Guidelines propose 3 Tier levels for greenhouse gas monitoring within the forest land category with a hierarchical order in terms of accuracy, data requirements and complexity. Due to missing and/or capacities, many developing countries, potentially interested reducing emissions from deforestation degradation scheme, have rely on 1 default values highest uncertainties. A possible way increase credibility uncertain estimates is apply conservative approach, which standard statistical...

Sentinel-2 MSI is one of the core missions Copernicus Earth Observation programme European Union. This mission shows great potential to map regional high-resolution spatio-temporal dynamics land use and cover. In tropical regions, despite high revisiting time 5 days including both Sentinel-2A 2B satellites, frequent presence clouds, cloud-shadows, haze other atmospheric contaminants are precluding visibility surface up several months. this paper we present four annual pan-tropical cloud-free...

Humid tropical South-East Asia suffers significant yearly biomass burning. This paper evaluates and compares the results of medium-resolution (MODIS) burnt area mapping hotspot-based assessment fire affected areas in Borneo 2005, using field observations high resolution Landsat ETM+ data as reference. Based on mapping, over 600 000 ha large-scale vegetation fires. Approximately 90% this burning took place degraded ecosystems was related to agricultural land clearing activities or logged...

Abstract Monitoring land cover over large areas on a yearly basis is challenging. The spatial and temporal consistency of an object-based change detection algorithm was tested through multi-year application the forest Borneo, using SPOT-VEGETATION time series from 2000 to 2008. Continuous thresholds allowed tuning according specific requirements in terms omission commission errors. accuracy method assessed ROC (relative operating characteristics) curves, which were found useful evaluate...

Abstract. Large-scale fires occur frequently across Indonesia, particularly in the southern region of Kalimantan and eastern Sumatra. They have considerable impacts on carbon emissions, haze production, biodiversity, health, economic activities. In this study, we demonstrate that severe fire events Indonesia can generally be predicted months advance using predictions seasonal rainfall from ECMWF System 4 coupled ocean–atmosphere model. Based analyses up-to-date long series observations burnt...

This study investigates how two existing pan-tropical above-ground biomass (AGB) maps (Saatchi 2011, Baccini 2012) can be combined to derive forest ecosystem specific carbon estimates. Several data-fusion models which combine these AGB according their local correlations with independent datasets such as the spectral bands of SPOT VEGETATION imagery are analyzed. Indeed convey information about vegetation type and structure related values. Our area is island Borneo. The evaluated against a...