estimasi produksi padi melalui teknologi penginderaan jauh

TINTERNATIONAL WORKSHOP OF DHCD SDCA – BOGOR, 2 APR 2012

www.litbang.deptan.go.id

Innnnnnnnn Annnnn

nnn Annnnnnnnnnn

Rnnnnnnn nnn

Dnnnnnnnnnn



The Impact of Climate Change on the agriculture:

The change of early time planting (onset) and harvesting

The change of crop pattern

The change of crop area

We need a guide for time planting in national scale Cropping Calendar (Kalender Tanam, KATAM)



Semi-dynamic Cropping Calendar (2007-2010) 2007: Jawa (Vol. I) 2008: Sumatera (Vol. II) 2009: Kalimantan (Vol. III) & Sulawesi (Vol.IV) 2010: Bali, Maluku, Nusa Tenggara & Papua (Vol.V)

• Start of time planting

• Until sub-district level

• Base on 3 scenario of climate anomaly (El-Nino, La-Nina, Normal) on the whole year



http://balitklimat.litbang.deptan.go.id/



In fact:

• Climate anomaly can be occured every season, even though every month

So

• We need to improve the time frame



Dynamic Cropping Calendar (after 2010)

• Time frame standart season of planting TP-1 (rainy season) : November-Fabruary TP-2 (first dry season) : March-June TP-3 (second dry season) : July-October

• Use of the climate information (BMKG)



Integrated Cropping Calendar (after 2011)

• Combine with other information: Seed recommendation Fertilizer recommendation Hazard information (flood, drought, pest)



The list of ICC information

1. Rainfall and season prediction2. Start of time planting3. Crop pattern4. Potential of crop area5. Recommendation of fertilizer dosis 6. Recommendation of fertilizer need7. Seed recommendation8. Potential of pest 9. Potential of flood and drought

Dynamic

Integrated



Algorithm of Seed need estimation

Seed Data

Fertilizar Data Algorithm of Fertilizer Need & Dosis calculation

INTEGRATED CROPPING CALENDAR

INFORMATION SYSTEM

Fertilizer recommen-

dation

SEVERAL LINK

DATABASE

Rainfall /Season

Prediction Time Planting &

Crop Area Estimation

Crop Calendar

DataSeed

recommen-dation

Access of Spatial Data

Algorithm of Climate prediction

and Cropping Calendar

Database

Database

Database

BMKG

SRI

ICRR

IAHRI



Database of Season Time (WS/DS) at sub-district

level

Prediction of Season Start from BMKG:

- Start (RS/DS):- Dilatation (Earlier, Later,Constant)

- Characteristics (AN, BN, N)Prediction of Monthly Rainfall

342 Season Zone(ZOM) & 65 Non-

season Zone (Non-ZOM) BMKG

Administration Data:Province, District, Sub-

district

IAHRI CROPPING CALENDAR:

Existing, Wet, Dry, Normal

ConvertionZOM Sub-district

Database of Time Planting, Crop Area at sub-district level

on the 4-scenario:Existing, Wet, Normal, Dry

DYNAMIC CROPPING CALENDAR: Information of Time Planting & Crop Area based on Season prediction

INPUT

PENGEMBANGAN SISTEM

&PENGOPERASIAN

OUTPUT

INPUT PROCESSDYNAMIC INPUT DYNAMIC PROCESS

KETERANGAN:OUTPUT

dinamik

dinamik



1. First Launching of ICC ver 1.0:

27 December 2011 , Head of IAARD Katam TP-1 (RS) 2011/2012Web Online Interactive Maps

2. Second Launching of ICC ver 1.1:

17 February 2012 on IAARD Web Climate Prediction TP-2 (DS-1) 2012 ICC for TP-2 (DS-1) 2012 Cropping Calendar Maps Interactive Feature improvement Information improving/focusing

UPDATED STATUS



3. Improvement Discussion with other Directur

3 March 2012, Head of IAARD input for improvement

4. Improvement Discuss with Co-chairman of MoA

9 March 2012, Head of IAARD input for improvement

5. Planing for ICC TP-3 (DS-2) 2012

Early April 2012

UPDATED STATUS



HOW TO INTERPRET THE BMKG INFORMATION

• Time frame for Standart Planing Season:TP-1: WS (November-February)TP-2: DS-1 (March-June)TP-3: DS-2 (July-October)

• Season Prediction from BMKG, use monsunal format:DS : April-SeptemberWS : October-March



• Rainfal & Characteristics Prediktion for TP-1 interpretate the monthly rainfall prediction

(Nov-Dec-Jan) & WS Prediction


(Mar-Apr-May)


(Jul-Aug-Sep) & DS Prediction




• Point Information ZOM/NonZOM Sub-district




Prosesor min 1 GhzMemory min 1 GbHardisc min 200 GbVGA min 500 Mb

Internet connection min 1 MBps



INTEGRATED CROPPING CALENDAR INFORMATION SYSTEM, ONLINE SYSTEM

www.katam.info

Or use MoA/IAARD/IAHRI web:

www.deptan.go.idwww.litbang.deptan.go.id

www.balitklimat.litbang.deptan.go.id

http://www.katam.info/

http://www.deptan.go.id/

http://www.litbang-deptan.go.id/

http://www.balitklimat.litbang.deptan.go.id/



APPLICATION FEATURE



MENU DIAGRAM

KALENDER TANAM TERPADU

Peta & Data Tematik

Pendekatan

Sambutan

Penyusun

Kontak

UtamaPeta Interaktif

Data InteraktifGrafik

Dokumen PDF

Peta KerentananPeta Kerentanan Utama

Peta Rekomendasi PupukData Rekomendasi Pupuk

Kalender TanamPrediksi BMKG

Kalender Tanam DinamikAncaman Bencana

Dirjen Tanaman PanganKepala BMKG

Rekomendasi VaritasRekomendasi Pupuk

Menteri PertanianKepala Badan Litbang

STA

RT



APPLICATION FEATURE



APPLICATION FEATURE



APPLICATION FEATURE



APPLICATION FEATURE



APPLICATION FEATURE



APPLICATION FEATURE



APPLICATION FEATURE



APPLICATION FEATURE



APPLICATION FEATURE



APPLICATION FEATURE



APPLICATION FEATURE



APPLICATION FEATURE



APPLICATION FEATURE



APPLICATION FEATURE



APPLICATION FEATURE



APPLICATION FEATURE



APPLICATION FEATURE



APPLICATION FEATURE



APPLICATION FEATURE



APPLICATION FEATURE



APPLICATION FEATURE



APPLICATION FEATURE



APPLICATION FEATURE



APPLICATION FEATURE



APPLICATION FEATURE



APPLICATION FEATURE



APPLICATION FEATURE



No PulauLuas baku

Sawah(Ha)

Awal Tanam

Dominan

PotensiLuas Tanam

(Ha)

Intensitas Tanam

(%)

Jumlah Benih(Ton)

Kebutuhan Pupuk NPK

(Ton)

1. Sumatera 2.109.988 Jan III-Feb I 1.568.647 71 29.520 212.624

2. Jawa 3.362.377 Mar I-II 2.056.271 61 39.951 427.582

3. Kalimantan 970.340 Jan III-Feb I 157.774 16 3.748 19.765

4. Sulawesi 880.057 Mar III-Apr I 108.373 12 2.542 17.351

5. Maluku 31.995 Jan III-Feb I 1.644 5 55 133

6. Papua 28.344 Mei I-II 6.141 21 87 508

7. Bali & NT 405.523 Mei I-II 60.926 15 861 5.920

INDONESIA 7.869.624 Mar III-Apr I 3.959.776 50 76.764 683.883



α - Testing Internal team

(Litbang Pertanian):• Verification, validation

and data input updating (data administration, standard crop area, BMKG’s information, seed, fertilizer, time planting, hazard)

• Algorithm of input variable inter-relation

• Output information

β - Testing External team

(BP2SDM, Ditjend TP, BMKG, Ditjend PSP, Dinas Pertanian, BPTPH):• Socialization• Field Implementation• Feedback



estimasi produksi padi melalui teknologi penginderaan jauh

Documents