| Grant number: |
16/05219-9
|
| Support type: | Scholarships in Brazil - Doctorate |
| Effective date (Start): |
September 01, 2016
|
| Effective date (End): |
January 02, 2019
|
| Field of knowledge: | Biological Sciences
-
Ecology |
|
| Principal Investigator: | Pedro Henrique Santin Brancalion |
| Grantee: | Danilo Roberti Alves de Almeida |
|
| Home Institution: |
Escola Superior de Agricultura Luiz de Queiroz (ESALQ). Universidade de São Paulo (USP). Piracicaba , SP, Brazil
|
|
| Associated research grant: | 13/50718-5 - Ecological restoration of riparian forests, native forest of economic production and of degraded forest fragments (in APP and RL) based on restoration ecology of reference ecosystems in order to scientifically test the precepts of the New Brazilian Forest Code,
AP.BTA.TEM
|
|
| Associated scholarship(s): | 17/03867-6 - Towards universal biological structural assessment of forests with LIDAR remote sensing for vegetation monitoring in a changing world,
BE.EP.DR
|
|
Abstract
We live in an era of unprecedented environmental change, with extensive degraded landscapes and great opportunities to transform these unproductive lands in functional landscapes and restore ecosystems that provide multiple benefits to society and future generations from processes such as the Forest Landscape Restoration (FLR), seeking the restoration of forests along with food production, carbon sequestration, soil and water protection and conservation of biodiversity, providing a good quality of life for people living in these landscapes. To meet these ambitious processes is necessary to adopt a rich concept of "Forest", performing a structural previous survey the landscape, distinguishing forest types (natural or planted, native or exotic species, continuous or fragmented among others) for the monitoring and success activity. However, perform the measurement of structural attributes in the field, able to distinguish these types, it is unworkable and some remote passive sensors have low accuracy in tropical forest classification due to high rates of leaf area. Active remote sensing, LiDAR, produce three-dimensional images of the landscape enabling direct or indirect estimate important structural physical attributes of vegetation with high accuracy. The objective of this study is to evaluate what are the opportunities that LiDAR has to monitor landscape restoration programs in tropical forests with the distinction of forest types, biomass estimates and biodiversity.
|
|
| Articles published in other Midia: (3 total)
|
| Drones pueden ayudar a proyectos de restauración forestal
|
| Drones deployed to monitor forest growth
|
| Drones deployed to monitor Brazil forest growth
|
| |
Scientific publications
(15)
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
SILVA, CARLOS A.;
VALBUENA, RUBEN;
PINAGE, EKENA R.;
MOHAN, MIDHUN;
DE ALMEIDA, DANILO R. A.;
NORTH, EBEN;
JAAFAR, WAN SHAFRINA WAN MOHD;
PAPA, DANIEL DE A. MEIDA;
CARDIL, ADRIAN;
KLAUBERG, CARINE.
ForestGapR: An r Package for forest gap analysis from canopy height models.
METHODS IN ECOLOGY AND EVOLUTION,
v. 10,
n. 8,
p. 1347-1356,
AUG 2019.
Web of Science Citations: 0.
ALMEIDA, D. R. A.;
BROADBENT, E. N.;
ZAMBRANO, A. M. A.;
WILKINSON, B. E.;
FERREIRA, M. E.;
CHAZDON, R.;
MELI, P.;
GORGENS, E. B.;
SILVA, C. A.;
STARK, S. C.;
VALBUENA, R.;
PAPA, D. A.;
BRANCALION, P. H. S.
Monitoring the structure of forest restoration plantations with a drone-lidar system.
International Journal of Applied Earth Observation and Geoinformation,
v. 79,
p. 192-198,
JUL 2019.
Web of Science Citations: 2.
ALMEIDA, DANILO R. A.;
STARK, SCOTT C.;
SCHIETTI, JULIANA;
CAMARGO, JOSE L. C.;
AMAZONAS, NINO T.;
GORGENS, ERIC B.;
ROSA, DIOGO M.;
SMITH, MARIELLE N.;
VALBUENA, RUBEN;
SALESKA, SCOTT;
ANDRADE, ANA;
MESQUITA, RITA;
LAURANCE, SUSAN G.;
LAURANCE, WILLIAM F.;
LOVEJOY, THOMAS E.;
BROADBENT, EBEN N.;
SHIMABUKURO, YOSIO E.;
PARKER, GEOFFREY G.;
LEFSKY, MICHAEL;
SILVA, CARLOS A.;
BRANCALION, PEDRO H. S.
Persistent effects of fragmentation on tropical rainforest canopy structure after 20 yr of isolation.
Ecological Applications,
JULY 2019.
Web of Science Citations: 0.
ALMEIDA, D. R. A.;
STARK, S. C.;
CHAZDON, R.;
NELSON, B. W.;
CESAR, R. G.;
MELI, P.;
GORGENS, E. B.;
DUARTE, M. M.;
VALBUENA, R.;
MORENO, V. S.;
MENDES, A. F.;
AMAZONAS, N.;
GONCALVES, N. B.;
SILVA, C. A.;
SCHIETTI, J.;
BRANCALION, P. H. S.
The effectiveness of lidar remote sensing for monitoring forest cover attributes and landscape restoration.
FOREST ECOLOGY AND MANAGEMENT,
v. 438,
p. 34-43,
APR 15 2019.
Web of Science Citations: 4.
ALVES DE ALMEIDA, DANILO ROBERTI;
STARK, SCOTT C.;
SHAO, GANG;
SCHIETTI, JULIANA;
NELSON, BRUCE WALKER;
SILVA, CARLOS ALBERTO;
GORGENS, ERIC BASTOS;
VALBUENA, RUBEN;
PAPA, DANIEL DE ALMEIDA;
SANTIN BRANCALION, PEDRO HENRIQUE.
Optimizing the Remote Detection of Tropical Rainforest Structure with Airborne Lidar: Leaf Area Profile Sensitivity to Pulse Density and Spatial Sampling.
REMOTE SENSING,
v. 11,
n. 1
JAN 1 2019.
Web of Science Citations: 5.
BRANCALION, PEDRO H. S.;
DE ALMEIDA, DANILO R. A.;
VIDAL, EDSON;
MOLIN, PAULO G.;
SONTAG, VANESSA E.;
SOUZA, SAULO E. X. F.;
SCHULZE, MARK D.
Fake legal logging in the Brazilian Amazon.
SCIENCE ADVANCES,
v. 4,
n. 8
AUG 2018.
Web of Science Citations: 4.
VALBUENA, R.;
HERNANDO, A.;
MANZANERA, J. A.;
GORGENS, E. B.;
ALMEIDA, D. R. A.;
MAURO, F.;
GARCIA-ABRIL, A.;
COOMES, D. A.
Enhancing of accuracy assessment for forest above-ground biomass estimates obtained from remote sensing via hypothesis testing and overfitting evaluation.
ECOLOGICAL MODELLING,
v. 366,
p. 15-26,
DEC 24 2017.
Web of Science Citations: 9.