Results 21 to 30 of about 65,050 (262)

Synergies for Improving Oil Palm Production and Forest Conservation in Floodplain Landscapes [PDF]

, 2014
Lowland tropical forests are increasingly threatened with conversion to oil palm as global demand and high profit drives crop expansion throughout the world’s tropical regions.
Ong, Robert, Peter, L, Joseph Tzanopoulos (571298), Knight, AT, Ancrenaz, M, Abram, Nicola K., Nicola K. Abram (345098), Tzanopoulos, Joseph, Lackman Isabelle, Xofis Panteleimon, Knight Andrew T., Marc Ancrenaz (5099), Ong, R, Abram Nicola K., Robin Chung (571300), Robin Chung, Joseph Tzanopoulos, Ambu, Laurentius, Benoit Goossens (2825078), Lackman, I, Chung, R, Andrew T Knight, Panteleimon Xofis (571297), Benoit Goossens, Laurentius Ambu, Andrew T. Knight (571303), Isabelle Lackman, Lucy Peter (571301), Robert Ong (571302), MacMillan Douglas C., Douglas C MacMillan, Isabelle Lackman (300027), Lucy Peter, Goossens, B, Ambu, L, Nicola K Abram, Knight, Andrew T., Tzanopoulos Joseph, MacMillan, DC, Ambu Laurentius, Douglas C. MacMillan (571299), Peter Lucy, Ong Robert, Goossens, Benoit, Abram, NK, Panteleimon Xofis, Goossens Benoit, Chung Robin, Xofis, Panteleimon, Xofis, P, Tzanopoulos, J, Ancrenaz, Mark, Chung, Robin, MacMillan, Douglas C., Peter, Lucy, Lackman, Isabelle, Ancrenaz Marc, Ancrenaz, Marc, Ambu, Laurentious, Marc Ancrenaz, Laurentius Ambu (5101), Robert Ong   +61 more
core   +1 more source

Early Detection of Encroaching Woody Juniperus virginiana and Its Classification in Multi-Species Forest Using UAS Imagery and Semantic Segmentation Algorithms

Remote Sensing, 2021
Woody plant encroachment into grasslands ecosystems causes significantly ecological destruction and economic losses. Effective and efficient management largely benefits from accurate and timely detection of encroaching species at an early development ...
Lin Wang, Yuzhen Zhou, Qiao Hu, Zhenghong Tang, Yufeng Ge, Adam Smith, Tala Awada, Yeyin Shi   +7 more
doaj   +1 more source

Tree Species Classification in a Complex Brazilian Tropical Forest Using Hyperspectral and LiDAR Data

, 2023
This study experiments with different combinations of UAV hyperspectral data and LiDAR metrics for classifying eight tree species found in a Brazilian Atlantic Forest remnant, the most degraded Brazilian biome with high fragmentation but with huge ...
Antonio Maria Garcia Tommaselli, Erika Akemi Saito Moriya, Honkavaara, Eija, Garcia Tommaselli, Antonio Maria [UNESP], Eija Honkavaara, Pereira Martins-Neto, Rorai, Hassan Camil David, David, Hassan Camil, Saito Moriya, Erika Akemi [UNESP], Imai, Nilton Nobuhiro, Tommaselli, Antonio Maria Garcia, Milto Miltiadou, Imai, Nilton Nobuhiro [UNESP], Rorai Pereira Martins-Neto, Martins-Neto, Rorai Pereira, Garcia Tommaselli, Antonio Maria, Miltiadou, Milto, Pereira Martins-Neto, Rorai [UNESP], Saito Moriya, Erika Akemi, Nilton Nobuhiro Imai   +19 more
core   +1 more source

Random Forest for Malware Classification

CoRR, 2016
The challenge in engaging malware activities involves the correct identification and classification of different malware variants. Various malwares incorporate code obfuscation methods that alters their code signatures effectively countering antimalware detection techniques utilizing static methods and signature database.
Felan Carlo C. Garcia, Felix P. Muga II
openaire   +2 more sources

Combining Camera Relascope-Measured Field Plots and Multi-Seasonal Landsat 8 Imagery for Enhancing the Forest Inventory of Boreal Forests in Central Russia

Remote Sensing, 2018
The study considers a forest inventory for the mean volume, basal area, and coniferous/deciduous mapping of a large territory in central Siberia (Russia), employing a camera relascope at arbitrary sized sample plots and medium resolution satellite ...
Georgy Rybakov, Jussi Peuhkurinen, Petri Latva-Käyrä, Maria Villikka, Sanna Sirparanta, Alexander Kolesnikov, Virpi Junttila, Tuomo Kauranne   +7 more
doaj   +1 more source

Chimera: A Multi-Task Recurrent Convolutional Neural Network for Forest Classification and Structural Estimation

Remote Sensing, 2019
More consistent and current estimates of forest land cover type and forest structural metrics are needed to guide national policies on forest management, carbon sequestration, and ecosystem health.
Tony Chang, Brandon P. Rasmussen, Brett G. Dickson, Luke J. Zachmann   +3 more
doaj   +1 more source

Combining optical satellite data and airborne laser scanner data for vegetation classification [PDF]

, 2011
The aim of this study was to investigate to which degree the accuracy of vegetation classification could be improved by combining optical satellite data and airborne laser scanner (ALS) data, compared with using satellite data only.
Nordkvist, Karin,, Sveriges lantbruksuniversitet., Olsson, Håkan,, Holmgren, Johan,, Håkan Olsson, Granholm, Ann-Helen, Karin Nordkvist, Nordkvist, Karin, Johan Holmgren, Ann-Helen Granholm, Holmgren, Johan, Nilsson, Mats,, Nilsson, Mats, Olsson, Håkan, Granholm, Ann-Helen,, Mats Nilsson   +15 more
core   +1 more source

Agroforestry as Policy Option for Forest-Zone Oil Palm Production in Indonesia

Land, 2020
With 15–20% of Indonesian oil palms located, without a legal basis and permits, within the forest zone (‘Kawasan hutan’), international concerns regarding deforestation affect the totality of Indonesian palm oil export.
Edi Purwanto, Hery Santoso, Idsert Jelsma, Atiek Widayati, Hunggul Y. S. H. Nugroho, Meine van Noordwijk   +5 more
doaj   +1 more source

Sheep in the Vineyard: Suitability of Different Breeds and Potential Breeding Objectives

Animals, 2022
Protecting a breed of sheep is simple when there is demand for its breed traits, but new market options are often hard to find. In general, grazing sheep are able to take over some viticultural work.
Lucas Conrad, Jakob Hörl, Maverick Henke, Rainer Luick, Nicolas Schoof   +4 more
doaj   +1 more source

Evaluation of Different Machine Learning Algorithms for Scalable Classification of Tree Types and Tree Species Based on Sentinel-2 Data

Remote Sensing, 2018
We use freely available Sentinel-2 data and forest inventory data to evaluate the potential of different machine-learning approaches to classify tree species in two forest regions in Bavaria, Germany.
Mathias Wessel, Melanie Brandmeier, Dirk Tiede   +2 more
doaj   +1 more source