Remote Monitoring for Forest Management in the Brazilian Amazon

Monteiro, André; Souza, Carlos M.

doi:10.5772/30126

Cited by 6 publications

(5 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We used ImgTools software developed for identifying forest disturbance in Brazilian Amazon forests (Souza Jr. et al, 2005;Souza Jr. and Siqueira, 2013) to classify forest into structural classes. ImgTools has been successfully used for studying historical emissions from deforestation and forest degradation in Brazil (Morton et al, 2011;Monteiro and Souza Jr., 2012).…”

Section: Forest Structural Classificationmentioning

confidence: 99%

“…Nepal, like many developing countries, lacks regular forest mapping and monitoring required for this process. In absence of these data, remote sensing tools analyzing satellite imagery have been used to generate historic forest change data retro-prospectively (Morton et al, 2011;Monteiro and Souza Jr., 2012;Souza Jr. and Siqueira, 2013). Thereby yielding the activity data required to develop the RL.…”

mentioning

confidence: 99%

See 1 more Smart Citation

An accurate REDD+ reference level for Terai Arc Landscape, Nepal using LiDAR assisted Multi-source Programme (LAMP)

Joshi

Tegel

Manandhar

et al. 2015

Banko

View full text Add to dashboard Cite

In preparation for participation in funding mechanisms established under the United Nations’ framework for reducing emissions from deforestation and forest degradation (REDD+), the Government of Nepal has developed a sub-national reference level (RL) for the 12 districts of Terai Arc Landscape (TAL) in partnership with the WWF-Nepal, WWF-US and Arbonaut Ltd., Finland. The reference level was established using LiDAR–Assisted Multisource Programme (LAMP), an innovative effort that utilizes existing national forest and survey data, field sampling, satellite imagery, and airborne LiDAR data to measure deforestation and forest degradation, regrowth and maintenance of forests, and the resulting emissions and sequestration of CO2 in the project districts for the period 1999–2011. This effort was designed to create a sub-national RL that meets the highest international standards for integrity and transparency and followed closely the guidelines of the Methodological Framework (MF) defined by the Forest Carbon Partnership Facility (FCPF) at the World Bank and Guidelines defined by Intergovernmental Panel on Climate Change (IPCC).The present analysis shows that during the 12-year period between 1999 and 2011 a net total of 52,245,991 tons CO2 (tCO2e) was emitted from the forest sector in the TAL, an average emission of 4,353,833 tons CO2e per year. The results presented here reflect the first iteration of the TAL RL and a major milestone in an on-going process that will further refine and improve the RL in the months ahead based on external review and input and additional field verification and data analysis.Banko Janakari, Vol. 24, No. 1, pp-23-33

show abstract

Section: Forest Structural Classificationmentioning

confidence: 99%

mentioning

confidence: 99%

An accurate REDD+ reference level for Terai Arc Landscape, Nepal using LiDAR assisted Multi-source Programme (LAMP)

Joshi

Tegel

Manandhar

et al. 2015

Banko

View full text Add to dashboard Cite

show abstract

“…Today deforestation is occurring on a large scale not only in tropical countries in Africa, Asia, and Latin America (Steininger et al, 2001;Chowdhury, 2006) but also in taiga regions, like in Russia or Canada (Tracy, 1994). One of the main problems in forest policies stems from the fact that there are not enough adequate and proper forestation monitoring (Dale, 2008;Monteiro, Souza, 2012). What's more, illegal logging and corrupt activities lead to forest decline worldwide (Brack, 2003;Markus-Johansson et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

Forest land-cover changes 2012-2018 in hunting grounds in Vojvodina

Marković¹,

Matejević²,

Kovačević³

et al. 2020

Ekonomika poljoprivrede

View full text Add to dashboard Cite

Deforestation could influence land cover ecological significance in hunting grounds on a big scale. This research examines changes of forest and shrub patches in the Vojvodina region by a set of landscape metrics. The study area includes 154 hunting grounds from which hunting organizations are managing with 134 hunting grounds, PC "Vojvodinasume" with 17, Serbian Armed Forces with two, and National Park "Fruska gora" with one hunting ground. The results show that in the National Park and Serbian Armed Forces hunting grounds the broad-leaved forest areas occurred on the surfaces that were under the transitional woodland-shrub and vice versa. A similar situation is in the hunting grounds managed by PC ''Vojvodinasume'' where there is not only the most intensive logging of broad-leaved and coniferous forests but also the most intensive afforestation of mixed forests and transitional woodland-shrub. On the other hand, in the hunting grounds managed by hunting organizations, there is the highest area growth under the broad-leaved forest.

show abstract

“…The size of many forests and the inevitable complications involved in monitoring the use of the forest and balancing one use against another, make exclusion or restrictions on access intrinsically problematic [25,26].…”

Section: Introductionmentioning

confidence: 99%

Remote Sensing and Forest Conservation: Challenges of Illegal Logging in Kursumlija Municipality (Serbia)

Jovanovic¹,

Milanović²

2017

Forest Ecology and Conservation

View full text Add to dashboard Cite

Evidence convincingly shows that illegal and corrupt activities are the major underlying cause of deforestation-illegal logging contributes up to 30% of the global market, in excess of US $20 billion a year. Since so much deforestation is a result of illegal logging, we cannot rely on official production statistics to capture deforestation. Given the importance and complexity of forest preservation, an attempt was made to evaluate the possible use of a normalized difference vegetation index (NDVI) in local forest management and prevention of illegal logging and corruption. We used the example of southern Serbian municipality Kursumlija that in the 2006-2011 periods experienced a 10% loss in forest area, as the obvious result of abrupt illegal logging. This process was very easy to locate and quantify (because illegal logging produced large canopy gaps that extend from the border of Kosovo to approximately 3-4 km into the Kursumlija's territory). In short, NDVI is very promising for countries like Serbia (that rarely perform forest inventories): It is relatively cheap and quick, and it can provide forest managers with essential information; it is easy to implement; the objectivity of these methods can significantly help in avoiding corruption and illegal logging.

show abstract

Remote Monitoring for Forest Management in the Brazilian Amazon

Cited by 6 publications

References 24 publications

An accurate REDD+ reference level for Terai Arc Landscape, Nepal using LiDAR assisted Multi-source Programme (LAMP)

An accurate REDD+ reference level for Terai Arc Landscape, Nepal using LiDAR assisted Multi-source Programme (LAMP)

Forest land-cover changes 2012-2018 in hunting grounds in Vojvodina

Remote Sensing and Forest Conservation: Challenges of Illegal Logging in Kursumlija Municipality (Serbia)

Contact Info

Product

Resources

About