Solichin Manuri
Solichin Manuri
Daemeter Consulting
Email yang diverifikasi di daemeter.org
Judul
Dikutip oleh
Dikutip oleh
Tahun
The potential of Indonesian mangrove forests for global climate change mitigation
D Murdiyarso, J Purbopuspito, JB Kauffman, MW Warren, SD Sasmito, ...
Nature Climate Change 5 (12), 1089-1092, 2015
2722015
Biomass burning fuel consumption rates: a field measurement database
TT Van Leeuwen, GR Van der Werf, AA Hoffmann, RG Detmers, G Rücker, ...
European Geosciences Union (EGU), 2014
922014
Estimation of above‐ground biomass of large tropical trees with terrestrial LiDAR
J Gonzalez de Tanago, A Lau, H Bartholomeus, M Herold, V Avitabile, ...
Methods in Ecology and Evolution 9 (2), 223-234, 2018
712018
Denial of long‐term issues with agriculture on tropical peatlands will have devastating consequences
LS Wijedasa, J Jauhiainen, M Könönen, M Lampela, H Vasander, ...
Global change biology 23 (3), 977-982, 2017
622017
Tree biomass equations for tropical peat swamp forest ecosystems in Indonesia
S Manuri, C Brack, NP Nugroho, K Hergoualc’h, N Novita, H Dotzauer, ...
Forest Ecology and Management 334, 241-253, 2014
512014
Tehnik pendugaan cadangan karbon hutan
S Manuri, CAS Putra, AD Saputra
Merang REDD Pilot Project, German International Cooperation–GIZ. Palembang, 2011
502011
A review of forest and tree plantation biomass equations in Indonesia
K Anitha, LV Verchot, S Joseph, M Herold, S Manuri, V Avitabile
Annals of forest science 72 (8), 981-997, 2015
142015
Assessing the influence of return density on estimation of lidar-based aboveground biomass in tropical peat swamp forests of Kalimantan, Indonesia
S Manuri, HE Andersen, RJ McGaughey, C Brack
International journal of applied earth observation and geoinformation 56, 24-35, 2017
92017
Improved allometric equations for tree aboveground biomass estimation in tropical dipterocarp forests of Kalimantan, Indonesia
S Manuri, C Brack, F Noor’an, T Rusolono, SM Anggraini, H Dotzauer, ...
Forest Ecosystems 3 (1), 28, 2016
82016
Estimation of above-ground biomass of large tropical trees with terrestrial LiDAR. Methods Ecol Evol 9: 223–234
J Gonzalez de Tanago, A Lau, H Bartholomeus, M Herold, V Avitabile, ...
72018
Effect of species grouping and site variables on aboveground biomass models for lowland tropical forests of the Indo-Malay region
S Manuri, C Brack, T Rusolono, F Noor’an, L Verchot, SI Maulana, ...
Annals of forest science 74 (1), 23, 2017
62017
Pohon-Pohon Hutan Alam Rawa Gambut Merang
CAS Putra, S Manuri, SC Heriyanto
MRPP-GIZ, Palembang, 2011
32011
Uncertainties of above ground biomass estimates in tropical peat swamp forest
S Manuri, S Joseph, C Martius, C Brack
Center for International Forestry Research (CIFOR), 2015
12015
Pengembangan persamaan alometrik lokal di kabupaten kapuas hulu
S Manuri, I Kumara, D Kusharyono, E Somala
Dinas perkebunan dan kehutanan kabupaten kapuas hulu-forclime GIZ report, 2013
12013
Estimation of above-ground biomass of large tropical trees with Terrestrial LiDAR
JG de Tanago Menaca, A Lau, H Bartholomeusm, M Herold, V Avitabile, ...
Methods Ecol. Evol, 0
1
Synthesising Existing Forest Inventory Datasets for Estimating Historical Aboveground Biomass Stocks, Growth and Mortality in Logged-over Tropical Dipterocarp Forests of …
S Manuri, C Brack, N Silva, F Noor'an
2020
SDGS IN FOCUS Mangrove forests support coastal ecosystems, store ‘blue carbon’, and prevent sea-level rise.
NN Vien, SD Sasmito, D Murdiyarso, J Purbopuspito, RA Mackenzie, ...
Policy, 2019
2019
Reference Level for the Estimation of Emission Reduction from Peatland Restoration
D Murdiyarso, G Anshari, S Manuri, A Wijaya, A Darmawan, A Budiman, ...
Badan Restorasi Gambut (BRG), 2018
2018
Above-ground biomass assessment of tropical trees with Terrestrial LiDAR and 3D architecture models
AIL Sarmiento, JG de Tanago Meñaca, HM Bartholomeus, M Herold, ...
SilviLaser 2017 Program, 123-124, 2017
2017
ADVANCED LAND COVER MAPPING OF TROPICAL PEAT SWAMP ECOSYSTEM USING AIRBORNE DISCRETE RETURN LIDAR
S Manuri, H Andersen, C Brack, B Doran
Geoplanning: Journal of Geomatics and Planning 4 (1), 1-8, 2017
2017
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